Device and method for compressing video on basis of waveform data conversion

Abstract

Disclosed are a device and method for compressing a video on the basis of waveform data conversion. According to an embodiment of the present invention, the method for compressing a video on the basis of waveform data conversion comprises the steps of: receiving target video data including a plurality of frames; acquiring time series change information in the plurality of frames for signal information about each of a plurality of local areas that form the target video data; and mapping wave data reflecting the time series change information to each of the plurality of local areas.

Description

Image compression device and method based on waveform data conversion

[0001] This invention relates to a video compression device and method based on waveform data conversion. For example, this invention relates to a codec technology that converts each pixel of video data into a waveform data format on a time-by-time basis and compresses it so that temporal information is also included.

[0002] Conventional compression techniques for video data can be classified into temporal and spatial compression methods, which represent the two main approaches used to effectively reduce the size of video data. First, temporal compression eliminates redundant information by utilizing the similarity between consecutive frames; it reduces the amount of data by storing only the differences from the previous frame and is implemented through motion estimation and compensation techniques. It is particularly effective for videos with minimal motion.

[0003] In contrast, spatial compression is a method that reduces redundancy within a single frame and can apply principles similar to image compression technology. It primarily operates by converting pixel data into the frequency domain using techniques such as the Discrete Cosine Transform (DCT) or Wavelet Transform, and then removing low-importance high-frequency components by considering human visual characteristics.

[0004] On the other hand, these conventional video compression technologies have a problem in that it is difficult to process data reflecting time-series information with a single codec. In other words, existing compression technologies primarily focus on short-term relationships between frames, failing to effectively capture long-term temporal dependencies, which can degrade compression efficiency in videos with complex temporal patterns.

[0005] Furthermore, when training a deep learning model based on video data using conventional video compression technology, there is a problem that the time series information reflected in the video data is not well reflected, which reduces the model's ability to understand the preceding and following video frames. In particular, some temporal information may be lost or distorted in the compressed video, which may make it difficult for the model to accurately grasp the temporal context of the video. This can lead to performance degradation, especially in tasks where temporal continuity is important, such as action recognition and video analysis. Therefore, the development of video compression technology that can overcome these limitations is urgently needed.

[0006] The technology underlying this application is disclosed in Korean Patent No. 10-2467091.

[0007] The present invention aims to provide an image compression device and method based on waveform data conversion that applies a new compression algorithm capable of more effectively processing and preserving temporal information, in order to solve the problems of the prior art described above.

[0008] However, the technical tasks to be achieved by the embodiments of the present invention are not limited to the technical tasks described above, and other technical tasks may exist.

[0009] As a technical means for achieving the above-described technical task, an image compression method based on waveform data conversion according to one embodiment of the present invention may include a step of inputting target image data including a plurality of frames, a step of obtaining time-series change information in the plurality of frames for signal information of each of a plurality of local areas constituting the target image data, and a step of mapping wave data reflecting the time-series change information to each of the plurality of local areas.

[0010] In addition, a waveform data conversion-based image compression method according to one embodiment of the present invention may include a step of compressing a plurality of wave data assigned to each of the plurality of local regions into encoding data corresponding to the target image data.

[0011] In addition, the compression step can process each of the plurality of wave data using a pre-established single type of codec.

[0012] In addition, the above signal information may include brightness information.

[0013] In addition, the time series change information may be binarized information in which a value corresponding to an active state is assigned to frames where the brightness information is above a preset threshold, and a value corresponding to an inactive state is assigned to frames where the brightness information is below the threshold.

[0014] In addition, the encoding data may be multidimensional data defined to include a horizontal axis and a vertical axis corresponding to each of the plurality of frames, and in which the wave data mapped to the corresponding local region is assigned to the horizontal axis position and the vertical axis position corresponding to each of the plurality of local regions.

[0015] In addition, each of the above plurality of local regions can be divided into pixel units.

[0016] In addition, the time series change information may be information in which a value corresponding to the change level between adjacent frames of the brightness information is assigned.

[0017] In addition, the above signal information may include channel-specific color information corresponding to a plurality of channels.

[0018] In addition, the wave data may be mapped to include a plurality of data corresponding to each of the plurality of channels.

[0019] Meanwhile, an image compression device based on waveform data conversion according to one embodiment of the present invention may include an image acquisition unit that receives target image data including a plurality of frames, a time series analysis unit that acquires time series change information in the plurality of frames for signal information of each of the plurality of local regions constituting the target image data, and a wave data processing unit that maps wave data reflecting the time series change information to each of the plurality of local regions.

[0020] In addition, an image compression device based on waveform data conversion according to one embodiment of the present invention may include an encoding unit that compresses a plurality of wave data allocated to each of the plurality of local areas into encoding data corresponding to the target image data.

[0021] In addition, the encoding unit can process each of the plurality of wave data using a pre-built single type of codec.

[0022] The above-described problem-solving methods are merely exemplary and should not be construed as limiting the present invention. In addition to the exemplary embodiments described above, additional embodiments may be included in the drawings and detailed description of the invention.

[0023] According to the above-described means for solving the problem of the present invention, an image compression device and method based on waveform data conversion that applies a new compression algorithm capable of more effectively processing and preserving temporal information can be provided.

[0024] However, the effects that can be obtained from this center are not limited to the effects described above, and other effects may exist.

[0025] Figure 1 is a schematic diagram of an image processing system based on waveform data according to one embodiment of the present invention.

[0026] Figure 2 is a conceptual diagram illustrating target image data including multiple frames.

[0027] Figure 3 is a conceptual diagram illustrating a conventional compression method for target image data.

[0028] FIG. 4 is a conceptual diagram for explaining encoded data compressed from target image data by an image compression device based on waveform data conversion according to one embodiment of the present invention.

[0029] Figure 5 is a conceptual diagram showing the I-frame, B-frame, and P-frame of a GOP (Group of Pictures) that constitutes video data.

[0030] Fig. 6 is a schematic diagram of an image compression device based on waveform data conversion according to one embodiment of the present invention.

[0031] Figure 7 is a flowchart of an image compression method based on waveform data conversion according to one embodiment of the present invention.

[0032] Below, with reference to the attached drawings, embodiments of the present invention are described in detail to facilitate easy implementation by those skilled in the art. However, the present invention can be implemented in various different forms and is not limited to the embodiments described herein. In the drawings, irrelevant parts have been omitted for clarity, and similar reference numerals have been used throughout the specification to indicate similar elements.

[0033] Throughout this specification, when a part is said to be "connected" to another part, this includes not only the case where it is "directly connected," but also the case where it is "electrically connected" or "indirectly connected" with another element in between.

[0034] Throughout this specification, when it is said that a member is located “on,” “above,” “upper,” “lower,” “lower” or “lower” another member, this includes not only cases where the member is in contact with the other member, but also cases where another member exists between the two members.

[0035] Throughout this specification, whenever a part is said to "include" a component, this means that it may include other components, but not to the exclusion of other components, unless otherwise specifically stated.

[0036] This invention relates to a video compression device and method based on waveform data conversion. For example, this invention relates to a codec technology that converts each pixel of video data into a waveform data format on a time-by-time basis and compresses it so that temporal information is also included.

[0037] Figure 1 is a schematic diagram of an image processing system based on waveform data according to one embodiment of the present invention.

[0038] Referring to FIG. 1, a waveform data-based image processing system (10) (hereinafter referred to as the 'image processing system (10)') according to one embodiment of the present invention may include a waveform data conversion-based image compression device (100) (hereinafter referred to as the 'image compression device (100)'), an image restoration device (200) using waveform data (hereinafter referred to as the 'image restoration device (200)'), and a client terminal (300).

[0039] The video compression device (100), the video restoration device (200), and the client terminal (300) can communicate with each other through a network (20). The network (20) refers to a connection structure that enables information exchange between each node, such as terminals and servers. Examples of such a network (20) include, but are not limited to, a 3GPP (3rd Generation Partnership Project) network, an LTE (Long Term Evolution) network, a 5G network, a WIMAX (World Interoperability for Microwave Access) network, the Internet, a LAN (Local Area Network), a Wireless LAN (Wireless Local Area Network), a WAN (Wide Area Network), a PAN (Personal Area Network), a Wi-Fi network, a Bluetooth network, a satellite broadcasting network, an analog broadcasting network, and a DMB (Digital Multimedia Broadcasting) network.

[0040] For reference, in the description of the embodiments of the present invention, the client terminal (300) may be any type of wireless communication device, such as a smartphone, smartpad, tablet PC, PCS (Personal Communication System), GSM (Global System for Mobile communication), PDC (Personal Digital Cellular), PHS (Personal Handyphone System), PDA (Personal Digital Assistant), IMT (International Mobile Telecommunication)-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), or Wibro (Wireless Broadband Internet) terminal.

[0041] The image compression device (100) disclosed herein may be a device or module that performs an image compression technique by compressing information about local regions (e.g., each pixel region, etc.) forming each frame of target image data (1) input from a client terminal (300), etc., into time-unit waveform data, so that the compressed data (e.g., encoding data (2), etc.) includes information about time (time-series information) contained in the target image data (1).

[0042] In this regard, most data currently having temporal information can be defined (generated) in the form of waves (sequences) according to time, but in the case of image data, it is common for it not to be defined in such a wave form, so when conventional image compression technology is applied as is, the deep learning model using image data does not reflect temporal information well, and the ability to understand the preceding and succeeding is reduced, and in the case of the image compression device (100) disclosed in the present invention, the input data of the deep learning model can be converted into wave-shaped data and applied, so that the deep learning model can easily understand the temporal context reflected in the image (video), and the inference performance (result) of the deep learning model can be improved.

[0043] In addition, when applying a conventional image compression technique, there was a problem that it was difficult to process the image information using a codec for processing time series data reflecting time information because the image information did not store time information well, whereas in the case of the image compression device (100) disclosed in the present invention, by converting the image data into a wave data form and compressing it, there is an advantage that all data having time information can be processed with a single codec by integrating and applying a codec for processing time series data.

[0044] In this regard, the latest video compression technology based on the H. 266 codec can compress original video of 6000 Mbps with 4K resolution, 30 frames per second, 8-bit color depth, and RGB color space to 1080 Mbps, thereby achieving a compression ratio of approximately 75 to 600 times. When using EnCodec, a deep learning-based voice compression technology, original voice of 768 kbps with a 48 kHz sampling rate, 16-bit resolution, and mono channel can be compressed to 1.512 kbps, showing a compression ratio of approximately 64 to 512 times. When comparing these compression ratio levels, the current state-of-the-art video compression technology and the deep learning-based voice compression technology can provide compression performance at a similar level. However, it is expected that the compression ratio of video data can be improved by improving the compression algorithm through the video compression device (100) disclosed herein.

[0045] Below, the specific functions and operations of the video compression device (100) will be described in detail.

[0046] Figure 2 is a conceptual diagram illustrating target image data including multiple frames.

[0047] Referring to FIG. 2, the image compression device (100) may receive target image data (1) comprising a plurality of frames (11). For example, referring to FIG. 2, the plurality of frames (11) constituting the target image data (1) may be divided into a first frame (11-1), a second frame (11-2), a third frame (11-3), etc., according to the playback order. Additionally, for example, the image compression device (100) may receive the target image data (1) from a client terminal (300).

[0048] Additionally, the image compression device (100) can acquire time-series change information in a plurality of frames (11) for each of the signal information of a plurality of local regions constituting the acquired target image data (1). In this regard, in the description of the embodiment of the present invention, 'local region' may refer to each pixel constituting each frame (11) included in the target image data (1), but is not limited thereto, and the specifications (size) of the local region may be pre-set so that each local region includes a plurality of pre-set pixels (e.g., 2 x 2 pixels, 4 x 4 pixels, etc.).

[0049] FIG. 3 is a conceptual diagram illustrating a conventional compression method for target image data, and FIG. 4 is a conceptual diagram for explaining encoded data compressed from target image data by an image compression device based on waveform data conversion according to one embodiment of the present invention.

[0050] When comparing FIGS. 3 and FIGS. 4, in the case of a conventional compression technique for image data, image data is processed by accumulating frame-unit data containing signal information of each of a plurality of local regions over time, whereas the image compression device (100) disclosed herein fixes the horizontal axis (x-axis) and vertical axis (y-axis) corresponding to the two-dimensional spatial range forming the frame (11), converts the signal information of each local region (pixel) within the spatial range into wave-shaped data showing how it changes over time corresponding to the playback order of the target image data (1), and processes this wave data by mapping it to each local region to compress the image or apply it as input data for a deep learning model.

[0051] Specifically, referring to FIG. 4, the image compression device (100) disclosed in the present invention can derive the generated binarization information as time series change information by using brightness information of each of a plurality of local areas to assign a value (e.g., '1', etc.) corresponding to an active state to a frame (11) whose brightness information is greater than or equal to a preset threshold value, and to assign a value (e.g., '0', etc.) corresponding to an inactive state to a frame (11) whose brightness information is less than the threshold value.

[0052] However, it is not limited to this, and wave data reflecting the time series change information of the brightness information of each local area itself can be defined by the image compression device (100), and in the case of such wave data, it can be composed of continuous time series values ​​other than 0 or 1.

[0053] As another example, the image compression device (100) can derive information that assigns values ​​corresponding to the change levels of brightness information between adjacent frames as time-series change information. For example, wave data corresponding to each local area within a frame (11) generated by the image compression device (100) can be generated to reflect the signal intensity change (brightness change) between adjacent frames of the corresponding local area (pixel).

[0054] Additionally, the image compression device (100) can map wave data reflecting the derived time series change information to each of a plurality of local areas constituting the target image data (1).

[0055] To help understanding, referring to FIG. 4 as an example, assuming that a plurality of local areas (pixels) forming the target image data (1) are divided into 2 X 2, the wave data (21a) mapped to the first local area (pixel) shown in the upper left of FIG. 4 may be wave data having a shape in which a value (0) corresponding to an inactive state is assigned at the first time point (t0), and a value (1) corresponding to an active state is assigned at the second time point (t1) and the third time point (t2), and the wave data (21b) mapped to the second local area (pixel) shown in the upper right of FIG. 4 may be wave data having a shape in which a value (1) corresponding to an active state is assigned at the first time point (t0) and the third time point (t2), and a value (0) corresponding to an inactive state is assigned at the second time point (t1), and the wave data mapped to the third local area (pixel) shown in the lower left of FIG. 4 Data (21c) may be wave data having a shape in which a value (0) corresponding to an inactive state is assigned to the entire section from the first time point (t0) to the third time point (t2), and wave data (21d) mapped to the fourth local area (pixel) shown at the lower right of FIG. 4 may be wave data having a shape in which a value (0) corresponding to an inactive state is assigned to the first time point (t0) and the third time point (t2), and a value (1) corresponding to an active state is assigned to the second time point (t1).

[0056] Meanwhile, according to one embodiment of the present invention, the image compression device (100) can omit the process of generating wave data by designating a representative value representing signal information of the local area instead of generating wave data and reflecting it in the encoding data (2), in the case of a local area where the degree of change in the size (amplitude) of wave data corresponding to the entire time section of the target image data (1) among the plurality of wave data mapped to each of the plurality of local areas is less than a preset threshold level, thereby increasing the compression ratio.

[0057] For example, the image compression device (100) can select wave data among a plurality of wave data mapped to each of a plurality of local regions, wherein the reference index calculated to reflect the change in magnitude of the wave data is less than a threshold value, and calculate a representative value corresponding to the selected wave data. In this regard, the reference index may be, for example, any one of parameters such as the Amplitude Variation Index (AVI), Temporal Amplitude Change Rate (TACR), Dynamic Amplitude Coefficient (DAC), Waveform Variability Measure (WVM), and Time-series Amplitude Instability (TAI), but is not limited thereto.

[0058] In addition, according to one embodiment of the present invention, when signal information reflected in each of a plurality of local areas includes color information for each channel corresponding to a plurality of channels, the image compression device (100) can generate wave data that is mapped to include a plurality of data corresponding to each of the plurality of channels.

[0059] In addition, the image compression device (100) can compress a plurality of wave data allocated to each of a plurality of local areas into encoding data (2) corresponding to the target image data (1).

[0060] Specifically, the video compression device (100) is defined to include a horizontal axis and a vertical axis corresponding to each of a plurality of frames (11), and can compress and generate encoding data (2) in the form of multidimensional data in which wave data mapped to the corresponding local region is assigned to the horizontal axis position and the vertical axis position corresponding to each of a plurality of local regions.

[0061] Additionally, according to one embodiment of the present invention, the image compression device (100) can process each of a plurality of wave data using a pre-built single type of codec (Codec; not shown).

[0062] Meanwhile, according to one embodiment of the present invention, the image compression device (100) can operate so that each point forming the wave data independently generates first type wave data representing brightness information at a corresponding point in time in a local area, and each point forming the wave data independently generates second type wave data representing a change in brightness information from a previous point in time in the local area, and can generate encoding data (2) so as to include both the first type wave data and the second type wave data.

[0063] In this regard, an image restoration device (200) that operates to restore target image data (1) by inputting encoded data (2) compressed and generated from target image data (1) by an image compression device (100) may operate to decode the encoded data (2) into target image data (1) using at least one of the first type wave data and the second type wave data.

[0064] Figure 5 is a conceptual diagram showing the I-frame, B-frame, and P-frame of a GOP (Group of Pictures) that constitutes video data.

[0065] Referring to Figure 5, a Group of Pictures (GOP) refers to a group of frames used in video compression and can be composed of three main frame types: I-frames, P-frames, and B-frames. Specifically, an I-frame (Intra-coded frame) is a complete image (frame) that is encoded independently and can be decoded on its own without referencing other frames. This I-frame serves as the starting point of the GOP and is used when a new scene begins or there is a major change. Although it has the lowest compression ratio, it has characteristics useful for fast searching and error recovery.

[0066] Next, a P-frame (Predicted frame) is an image (frame) encoded by referencing a previous I-frame or P-frame; since it stores only the difference between the current frame and the reference frame, it provides a higher compression ratio than an I-frame, and such P-frames can be used to efficiently encode changes from the previous frame using motion prediction.

[0067] In addition, B-frames (Bi-directional predicted frames) offer the highest compression ratio among the three frame types and can be encoded by referencing both the preceding and subsequent I-frames or P-frames. While B-frames can perform more accurate motion prediction using bidirectional prediction, they require more processing power for encoding and decoding.

[0068] In this regard, according to one embodiment of the present invention, the image compression device (100) can designate the frame type of each of the plurality of frames (11) included in the target image data (1) or the GOP within the target image data (1) as an I-frame, P-frame, or B-frame by using the shape of the wave data mapped to each local region forming the target image data (1), and considering these frame types, each section of the wave data included in the encoding data (2) can be selectively configured as the aforementioned first type wave data or second type wave data.

[0069] For example, the image compression device (100) disclosed herein may compress the target image data (1) such that both the first type wave data and the second type wave data are included in the encoding data (2) in accordance with a time interval classified as an I-frame, may compress the target image data (1) such that only the second type wave data is included in the encoding data (2) in accordance with a time interval classified as a P-frame, and may operate to compress the target image data (1) such that only the first type wave data is included in the encoding data (2) in accordance with a time interval classified as a B-frame, but is not limited thereto.

[0070] Figure 6 is a schematic diagram of an image compression device based on waveform data conversion according to one embodiment of the present invention.

[0071] Referring to FIG. 6, the image compression device (100) may include an image acquisition unit (110), a time series analysis unit (120), a wave data processing unit (130), and an encoding unit (140).

[0072] The image acquisition unit (110) can receive target image data (1) including a plurality of frames (11).

[0073] The time series analysis unit (120) can obtain time series change information in multiple frames (11) for signal information of each of multiple local areas that constitute the acquired target image data (1).

[0074] For example, the time series analysis unit (120) can derive the generated binary information as time series change information by using brightness information of each of a plurality of local areas to assign a value corresponding to an active state to a frame (11) whose brightness information is greater than a preset threshold value and to assign a value corresponding to an inactive state to a frame (11) whose brightness information is less than the threshold value.

[0075] As another example, the time series analysis unit (120) can derive information that assigns values ​​corresponding to the change levels between adjacent frames of brightness information as time series change information.

[0076] The wave data processing unit (130) can map wave data reflecting the derived time series change information to each of a plurality of local areas forming the target image data (1).

[0077] According to one embodiment of the present invention, the wave data processing unit (130) can generate wave data that is mapped to include a plurality of data corresponding to each of the plurality of channels when the signal information reflected in each of the plurality of local areas includes color information for each channel corresponding to the plurality of channels.

[0078] The encoding unit (140) can compress multiple wave data allocated to each of multiple local areas into encoding data (2) corresponding to target image data (1).

[0079] Specifically, the encoding unit (140) is defined to include horizontal and vertical axes corresponding to each of a plurality of frames (11), and can compress and generate encoding data (2) in a multidimensional data form that assigns wave data mapped to the corresponding local area for the horizontal and vertical axis positions corresponding to each of a plurality of local areas.

[0080] Meanwhile, according to one embodiment of the present invention, the encoding unit (140) can process each of a plurality of wave data using a pre-built single type of codec (Codec; not shown).

[0081] Below, we will briefly review the operating flow of the present invention based on the detailed description above.

[0082] Figure 7 is a flowchart of an image compression method based on waveform data conversion according to one embodiment of the present invention.

[0083] The image compression method based on waveform data conversion illustrated in FIG. 7 can be performed by the image compression device (100) described above. Therefore, even if the content is omitted below, the content described for the image compression device (100) can be equally applied to the description of the image compression method based on waveform data conversion.

[0084] Referring to FIG. 7, in step S11, the image acquisition unit (110) can receive target image data (1) including a plurality of frames (11).

[0085] Next, in step S12, the time series analysis unit (120) can obtain time series change information in multiple frames (11) for signal information of each of multiple local areas constituting the acquired target image data (1).

[0086] For example, in step S12, the time series analysis unit (120) can derive the generated binary information as time series change information by using brightness information of each of a plurality of local areas to assign a value corresponding to an active state to a frame (11) whose brightness information is greater than or equal to a preset threshold value, and to assign a value corresponding to an inactive state to a frame (11) whose brightness information is less than the threshold value.

[0087] As another example, in step S12, the time series analysis unit (120) can derive information in which a value corresponding to the change level between adjacent frames of brightness information is assigned as time series change information.

[0088] Next, in step S13, the wave data processing unit (130) can map wave data reflecting the derived time series change information to each of the multiple local regions forming the target image data (1).

[0089] According to one embodiment of the present invention, in step S13, the wave data processing unit (130) can generate wave data that is mapped to include multiple data corresponding to each of the multiple channels when the signal information reflected in each of the multiple local regions includes channel-specific color information corresponding to the multiple channels.

[0090] Next, in step S14, the encoding unit (140) can compress multiple wave data assigned to each of the multiple local regions into encoding data (2) corresponding to the target image data (1).

[0091] Specifically, in step S14, the encoding unit (140) is defined to include horizontal and vertical axes corresponding to each of a plurality of frames (11), and can compress and generate encoding data (2) in a multidimensional data form by assigning wave data mapped to the corresponding local area for the horizontal and vertical axis positions corresponding to each of a plurality of local areas.

[0092] Meanwhile, according to one embodiment of the present invention, in step S14, the encoding unit (140) can process each of the plurality of wave data using a pre-built single type of codec (Codec; not shown).

[0093] In the above description, steps S11 to S14 may be further divided into additional steps or combined into fewer steps, depending on the implementation example of the present invention. Furthermore, some steps may be omitted as needed, and the order of the steps may be changed.

[0094] An image compression method based on waveform data conversion according to one embodiment of the present invention may be implemented in the form of program commands that can be executed through various computer means and recorded on a computer-readable medium. The computer-readable medium may include program commands, data files, data structures, etc., alone or in combination. The program commands recorded on the medium may be those specially designed and configured for the present invention or may be those known to and usable by those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs and DVDs, magneto-optical media such as floptical disks, and hardware devices specially configured to store and execute program commands such as ROMs, RAMs, and flash memories. Examples of program commands include not only machine language codes generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter, etc. The above hardware devices may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

[0095] Additionally, the image compression method based on waveform data conversion described above can also be implemented in the form of a computer program or application executed by a computer and stored in a recording medium.

[0096] The above description of the present invention is for illustrative purposes only, and those skilled in the art will readily appreciate that the present invention can be readily modified into other specific forms without altering the technical spirit or essential characteristics of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive. For example, each component described as a single entity may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined manner.

[0097] The scope of the present invention is indicated by the claims described below rather than the detailed description above, and all changes or modifications derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present invention.

Claims

1. In an image compression method based on waveform data conversion, A step of receiving target image data including multiple frames; A step of obtaining time series change information in the plurality of frames for signal information of each of the plurality of local areas constituting the target image data; and A step of mapping wave data reflecting the above time series change information to each of the plurality of local areas, A compression method comprising:

2. In paragraph 1, A step of compressing a plurality of wave data allocated to each of the plurality of local areas into encoding data corresponding to the target image data, A compression method further comprising:

3. In paragraph 2, The above compressing step is, A compression method in which each of the above plurality of wave data is processed using a pre-built single type of codec.

4. In paragraph 2, The above signal information includes brightness information, A compression method characterized in that the time series change information is binary information that assigns a value corresponding to an active state to a frame in which the brightness information is greater than a preset threshold value, and assigns a value corresponding to an inactive state to a frame in which the brightness information is less than the threshold value.

5. In paragraph 2, The above encoding data is, It is defined to include a horizontal axis and a vertical axis corresponding to each of the above plurality of frames, A compression method, wherein the compression method is multidimensional data in which the wave data mapped to the corresponding local area is assigned to the horizontal axis position and vertical axis position corresponding to each of the plurality of local areas.

6. In paragraph 1, A compression method wherein each of the above multiple local areas is divided into pixel units.

7. In paragraph 2, The above signal information includes brightness information, A compression method, characterized in that the time series change information is information that assigns a value corresponding to a change level between adjacent frames of the brightness information.

8. In paragraph 2, The above signal information includes channel-specific color information corresponding to multiple channels, The above wave data is, A compression method characterized in that it is mapped to include a plurality of data corresponding to each of the plurality of channels.

9. In an image compression device based on waveform data conversion, An image acquisition unit that receives target image data including multiple frames; A time series analysis unit that obtains time series change information in the plurality of frames for signal information of each of the plurality of local areas that constitute the target image data; and A wave data processing unit that maps wave data reflecting the above time series change information to each of the plurality of local areas; A compression device comprising:

10. In paragraph 9, An encoding unit that compresses a plurality of wave data allocated to each of the plurality of local areas into encoding data corresponding to the target image data; A compression device further comprising:

11. In paragraph 10, The above encoding section, A compression device that processes each of the above plurality of wave data using a pre-built single type of codec.

12. In paragraph 10, The above signal information includes brightness information, A compression device characterized in that the time series change information is binary information that assigns a value corresponding to an active state to a frame in which the brightness information is greater than a preset threshold value, and assigns a value corresponding to an inactive state to a frame in which the brightness information is less than the threshold value.

13. In paragraph 10, The above encoding data is, It is defined to include a horizontal axis and a vertical axis corresponding to each of the above plurality of frames, A compression device, which is multidimensional data that assigns the wave data mapped to the corresponding local area for each of the horizontal and vertical axis positions corresponding to each of the plurality of local areas.

14. In paragraph 10, The above signal information includes brightness information, A compression device, characterized in that the above time series change information is information that assigns a value corresponding to a change level between adjacent frames of the above brightness information.

15. In paragraph 10, The above signal information includes channel-specific color information corresponding to multiple channels, The above wave data is, A compression device characterized in that it is mapped to include a plurality of data corresponding to each of the plurality of channels.

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