161 results about "Image complexity" patented technology

An image display method and apparatus are disclosed. When a background image and a foreground image are displayed in an overlapping manner, the comprehensibility of the foreground image is enhanced by adjusting the brightness of the background image on the basis of the external illumination, of the brightness difference between the background image and the foreground image, or of the image complexity of the background or foreground images.

The invention relates to a visual false body image processing device and the method, belonging to the field of biological engineering. In the invention, an image collecting module is a CMOS digital image sensor which converts the obtained image information into digital mode; a wireless transmission module is responsible for the communication of the image collecting module and the image processing module, then transmits the image information collected by the image collecting module to the image processing module; the image processing module has an image information precorrection to the obtained image to improve the image quality, having image information simplifying, strengthening or coding treatment to transform the obtained image information into the pulse encouraging mode accepted by the visual system to provide for an internal stimulation module, and providing the function of self regulation for users. The method is showed as follows: firstly executing image pretreatment, then through an image complexity judgment, the image is divided into three kinds and the corresponding treatment procedure is adopted. The invention resolves the prior disadvantage to be applied in all types of visual false body.

This invention provides one binary state pattern method for files images and its device, which comprises the following steps: a, aim for the said file image grey data computing the said file image complexity and accordingly sorting the images into simple and complex types; b, when it is of simple type, through whole cutting method of the grey image data and when the file image is of complex type, through complex cut method binary image data to generate binary image data.

The invention discloses a method of code rate self-adaptive control in wireless transmission. The method of the code rate self-adaptive control in the wireless transmission is used for video code rate self-adaptive control and includes the steps: acquiring an image complexity parameter according to a video character type parameter of video source data, receiving wireless channel transmission quality information sent by a receiving end, acquiring a wireless transmission index parameter according to the wireless channel transmission quality information, acquiring a target code rate parameter according to the wireless transmission index parameter, inquiring a code rate control empirical data table to acquire an image output frame rate parameter according to the image complexity parameter and the target code rate parameter, and the image output frame rate parameter is sent to a video coding module, so that when the video coding module is used for carrying out video coding on the video source data, an output code rate of coding standard video data is adjusted by using the image output frame parameter. The invention further discloses a device and a system of the code rate self-adaptive control in the wireless transmission.

The invention relates to code rate control and discloses a code rate control method of video coding and a system thereof. According to code stream output information, a channel bandwidth is predicted and an encoding rate is correspondingly adjusted so that output delay can be well controlled under a condition that the channel bandwidth is limited and is easy to change and a low delay application scene demand is satisfied. The method comprises the following steps that the current channel bandwidth is predicted; according to a current channel bandwidth prediction value, a target code rate is distributed; according to the distributed target code rate, a code stream size of a previous coded frame and a coding image complexity, a corresponding quantification parameter is calculated and obtained; according to the quantification parameter, coding processing is performed on an image to be coded, an encoding stream is output, and the code stream size of the current coded frame and the coding image complexity are output; a code stream output buffer area carries out output time delay control according to the current channel bandwidth prediction value and code stream residence information of the code stream output buffer area.

The invention discloses a sparse microwave imaging method, relating to the information acquisition and processing technology. By utilizing sparsity of microwave imaging observation, through introducing sparse signal processing theory into microwave imaging technology, after signal processing and information extraction, the geometrical and physical characteristics of an observation object such as space position, scattering characteristic and motion characteristic and the like are obtained, wherein the sparse signal processing theory is through searching sparse representation field of the observation object, obtaining sparse microwave signal of the observation object in space, time, frequency spectrum or polarizing field sparse sampling. According to the sparse microwave imaging method in the invention, the bottleneck problems existed in the prior art such as difficult system realization, complex imaging processing method, redundant information and difficult feature extraction and the like based on Nyquist sampling theorem and classic digital signal processing theory are solved, thus microwave imaging system structure and imaging complexity is reduced.

An image processing method and apparatus are provided, the method comprising: receiving an image complexity of an image to be encoded, the image complexity being acquired by an image processor connected to an encoder; determining a preset encoding bit of the image to be encoded; obtaining a quantization parameter of the image to be encoded according to the image complexity and the preset encodingbit; and encoding the image to be encoded according to the quantization parameter of the image to be encoded. The accuracy of the rate control and the calculation complexity of the encoder can be balanced.

The invention discloses an adaptive difference expansion-based reversible image watermarking method, which comprises a watermark embedding process, a watermark extraction process and an image recovery process; before watermarks are embedded, the original image needs to be pretreated, and the pretreatment comprises alternated division, difference calculation, image complexity calculation and parameter setting; in the embedding process, the corresponding watermarks are embedded by using adaptive expansion; additional information is embedded, and the watermark data and the additional information are mixed and embedded under a specific condition; in the extraction process, the additional information is first extracted, and the difference is calculated; the inverse operation of the adaptive difference expansion is performed, the watermark data are extracted, and the original difference is reduced; and finally, the image is reduced through the reduced difference. The method has reversibility, and can provide higher embedding capacity and better image quality, particularly under the condition of many embedded watermark data.

The invention relates to a method for rate control of video coding, which includes: it allocates the surplus or overruns bit to the follow-up GOP in the controlling method for the GOP layer rate. It sets the quantitative parameters in accordance with the image complexity and pre-bit-rate allocation of I frame to make the use of resources more rationally and effectively in frame-rate controlling method. It controls the quantitative parameters of the current P frames to contain the serious downward trend of P Frame encoding quality due to lack of residual rate when GOP P frame coding rapidly decline.

The invention provides a characteristic self-adaption image common segmentation method based on image complexity. The method includes in consideration of accurate detection results of an object detection method in a simple background image and dispersing detection results in a complex image and in consideration of initial segmentation accuracy, firstly starting from segmentation results of the simple background image, then self-adaption adjusting a common segmentation parameter by learning corresponding optimal similarity level measurement criteria of different image groups, and using the common segmentation parameter which is obtained by self-adaption adjusting to carry out image common segmentation handling. The method is high in detection rate, accurate in result and strong in self-adaption ability.

The invention discloses a front squint SAR imaging method based on a hypersonic aircraft at the level flight section. The front squint SAR imaging method mainly solves the problem that orientation pulses are compressed to distort on the condition of a small front squint angle of a high-speed platform. The front squint SAR imaging method includes the first step of obtaining radar echo signals, the second step of carrying out time domain calibration distance walking processing on the radar echo signals, the third step of carrying out distance linear frequency scaling processing after the time domain calibration distance walking processing, and obtaining two-dimensional frequency domain signals, the fourth step of carrying out range pulse compression and secondary pulse compression processing on the two-dimensional frequency domain signals, the fifth step of carrying out azimuth pulse compression and space-variant compensation processing on range processing results, and the sixth step of carrying out geometric distortion correction on azimuth processing results to obtain front squint SAR images. The front squint SAR imaging method reduces imaging complexity, and realizes high-precision front squint SAR imaging on the condition of the hypersonic platform; obtained geometric distortion correction images are favorable for follow-up SAR image processing and application and can be used for ground target recognition, scene matching and the like.

The embodiment of the invention discloses a video coding method, a video coding device and electronic equipment. The method comprises the following steps of: determining the model parameter theta of the current frame, wherein the model parameter theta represents the frequency component of the current frame image; determining the target rho value of the current frame according to a target code rate and the model parameter, wherein the rho value is the ratio of a coefficient of which the numerical value is 0 in the quantization parameter of the current frame; determining the image complexity parameter of the current frame; and determining the quantization parameter of the current frame according to the image complexity parameter of the current frame and the target rho value of the current frame, wherein the quantization parameter is used for coding the current frame. The method, the device and the electronic equipment of the embodiment of the invention can improve the efficiency and accuracy for code rate control and lower coding complexity.

Embodiments of the present invention comprise methods and systems for image complexity estimation and selective complexity-based image processing.

Embodiments of the present invention comprise methods and systems for image complexity estimation and selective complexity-based image processing.

The invention relates to a multi-channel video unicode rate control method, which comprises the following steps: collecting code statistics information, allocating multi-channel bit, allocating single-channel variable code rate bit, and calculating quantization parameter. The method not only can allocate bit to each channel according to the complexity of the video source image content, ensure that the final multiplexing bit stream of each channel, satisfy the requirement of the band width, reduce the difference of the video quality of each channel, and can ensure the stability of the mage quality inside the channel since each channel by adopting the variable code rate technology. In addition, the method is completely based on the feedback way, the analysis of the image complexity is basedon the statistics information produced during the coding process, so an additional image complexity analysis module is not required, and the cost can be reduced.

The method comprises: in the first, respectively according to the frame layer rate controlling policy, head information predication model, and complexity summation linear predication model, calculating the target bits number of all macro blocks in current frame, head information bit number, and predicating the complexity summation; in the second , calculating the target bit number of encoded macro blocks in current frame, head information bit number and complexity summation; according to the code transformation rate-distortion model, calculating the quantization step length of current macro blocks, and making the rate-distortion optimal encode for the current macro blocks; according to the actual encode data of current macro block, updating the target bit number, head information bit number and complexity summation of the encoded macro block; deciding if the current macro block is the last one of current frame; if not, then updating the coefficient of the encoded signal source rate-distortion model; repeating above step, until last macro block; if yes, then updating the complexity summation and coefficient of the linear predication model.

The invention discloses an image complexity judgment-based scene classification method for aerial remote sensing images, and belongs to the technical field of image processing. The method comprises the steps of extracting complexity features of the aerial remote sensing images, and selecting multiple to-be-processed aerial remote sensing images to form training samples; forming a test sample set by using the rest of the aerial remote sensing images; manually classifying and tagging a training sample set according to the complexity, and performing combination with classifiers after multi-core mapping to obtain three image complexity classifiers; extracting the complexity features of the aerial remote sensing images A in the test set, and inputting the complexity features to the three classifiers, thereby obtaining a complexity judgment result of the aerial remote sensing images A, wherein a corresponding type when the hinge loss is minimum serves as a complexity type of the images; andaccording to the complexity judgment result of the aerial remote sensing images A, performing scene classification on the aerial remote sensing images A by using a proper method. According to the method, the complexity of the aerial remote sensing images can be effectively judged, thereby efficiently and accurately realizing scene classification of the aerial remote sensing images.

Provided are a video watermarking method and apparatus and a video content protecting method and apparatus using video watermarking. The method includes detecting scene transition in a video sequence, calculating an image complexity in a scene using one or more frames included in the scene and determining a watermark embedding strength for the scene, and embedding a watermark into the video sequence according to the watermark embedding strength.

Disclosed herein is an image compression apparatus and method for a mobile communication terminal. The image compression apparatus includes an image sensor unit, an Image Signal Processor (ISP), an auto focus Digital Signal Processor (DSP), and a compression module. The image sensor unit converts an optical signal into an electrical signal. The ISP unit receives the electrical signal from the image sensor unit and outputs digitized image data. The auto focus DSP receives the image data from the ISP, extracts edge components from the image data, calculates a focus value by integrating the edge component values of a window set region, and calculates a maximal focus value while driving the focus lens of a lens unit. The compression module receives the maximal focus value from the auto focus DSP, and performs image compression while quantizing the image data, which are input from the ISP unit, using a quantization parameter determined according to the received maximal focus value.

The invention discloses a code rate control method fusing image features. In frame layer intra-frame target bit allocation, image complexity of images and a target bit of each pixel point are fully considered, the images with high image complexity obtain more target bits, the coding rate is utilized more fully, and quality is more stable; in frame layer inter-frame target bit allocation, image complexity between images in an image group is fully considered, more target bits are allocated to the images with high image complexity; and in a maximum coding unit layer, according to the frame type of a frame wherein a maximum coding unit is, different code rate control strategies are used, so that image features are given more consideration to in a target bit allocation process. The code rate control method fusing image features has the advantages that a peak signal to noise ratio of a video reconstructed by coding using the method provided by the invention is improved by 0.04 to 0.67dB, and code rate control accuracy is improved to 0.00 to 8.49kb / s.

The present invention discloses an image complexity based signal source real-time coding method and system. The method comprises the steps of acquiring a coding mode and coding parameters of an image; collecting statistics about coded units of all frames of image according to the coding mode and the coding parameters, and setting a threshold according to a statistic result and quantification parameters and algorithm margin; comparing intra-frame forecasted hierarchy segmentation according to mean square of a pixel block and the threshold so as to perform preliminary screening; performing advance termination or exiting in inter-frame prediction according to adaptive offset direction information of a reference frame sample in a time domain and information like a movement vector, a transform unit, a code signaling bit and so on of a current coding unit of a space domain; analyzing pattern direction of the coding unit determined in an intra-frame prediction mode and an inter-frame prediction mode; and monitoring a comparison result according to code rate and rate of the coded image so as to adjust the coding mode and the coding parameters.

The invention relates to an adaptive macro-block grade code rate control system and control method for video compression. The adaptive macro-block grade code rate control system for video compressionincludes an image segmentation module which is used for segmenting one frame of image into 16*16 macro-blocks, an image complexity calculation module which is used for inputting the segmented macro-blocks into the mage complexity calculation module and calculating the fluctuation change frequency of the image pixel value in the macro-block domain by calculating the absolute error sum of the pixelvalue in the frame of image and the pixel value in the area so as to obtain the image complexity MAD, and a macro-block quantization parameter calculation module which includes a precision selection module and a QP section determination module, wherein the preset section threshold, the precision control parameter and the image complexity MAD are input into the precision selection module to calculate the precision; and the macro-block image complexity MADout having determined the precision is sent to the QP section determination module to determine the QP section to which the macro-block belongs and calculate the macro-block QP offset, and the macro-block grade QP value can be obtained by stacking the frame grade QP with the macro-block QP offset, and then the adaptive macro-block grade code rate control can be realized.

The invention discloses an adaptive fractional differential image enhancement algorithm, comprising the following steps: calculating the image complexity according to the idea of ​​difference box dimension; calculating the sub-order number of the fractional differential according to the image complexity; The first-order differential template processing enhances the extraction of high-frequency detail information, and the enhanced image retains low-frequency information; processes the high-frequency detail image in the horizontal direction; processes the high-frequency detail image in the vertical direction by wavelet decomposition; and processes the high-frequency detail image in the diagonal direction by wavelet decomposition processing; performing wavelet inverse transformation on the processed low-frequency, horizontal, vertical, and diagonal wavelet-decomposed images to obtain an enhanced image. The algorithm of the invention enhances and extracts the high-frequency information while retaining the low-frequency information of the image, and adaptively determines the algorithm sub-order parameter according to the complexity of the image, effectively ensuring the best effect of algorithm enhancement.

The invention discloses a high-capacity image steganography method. The method comprises the following steps: carrying out scrambling processing on a carrier image; Dividing the scrambled image into N* N sub-blocks and carrying out DCT (Discrete Cosine Transform); Classifying each DCT block, and selecting an embedded block; Element values at selected positions are extracted from a matrix obtainedafter the DCT coefficient of each embedded block is scanned in a Z shape, and a coefficient matrix is obtained; Extracting element values which are the same as the element values at the selected positions from a matrix obtained after Z-shaped scanning of the Q table to form a quantization matrix; Calculating a division matrix and block capacity through the quantization matrix; Dividing the bit stream of the secret information according to the block capacity; Calculating an embedded matrix for the divided bit stream; Calculating a new coefficient matrix; Replacing the DCT coefficient with theelement value in the new coefficient matrix, and carrying out inverse operation of Z-shaped scanning to obtain a new DCT coefficient; And carrying out DCT inverse transformation on each sub-block andthen carrying out inverse scrambling processing. The invention also discloses a secret message extraction method. And the image complexity is high and the embedding capacity is large.

The invention discloses a method for detecting existence of salient objects in optical images. The method comprises the following steps: (1) inputting an optical image set; (2) obtaining salient maps of all optical images; (3) obtaining normalized salient maps; (4) obtaining binary salient maps; (5) obtaining five feature vectors; (6) judging whether the five feature vectors of the salient maps of all the images in the optical image set are obtained or not; (7) establishing a training feature set and a to-be-detected feature set; (8) performing classifier training; (9) obtaining a detection result of each feature of the to-be-detected optical images; (10) obtaining a detection result for existence of the salient objects in the optical images. The method lowers the complexity in detection of existence of the salient objects in the optical images, better avoids a situation of generating false objects by salient maps of images without objects in detection of the salient objects in the images, eliminates limitation of a conventional algorithm on image complexity, has relatively high detection accuracy, and can be applied to the detection of existence of the salient objects in the optical images.

The invention provides an image distortion correction method and device, wherein the method comprises the steps of obtaining a first coordinate of each pixel point in a to-be-corrected distorted image; obtaining a second coordinate corresponding to the first coordinate, the second coordinate being a distortionless coordinate corresponding to the first coordinate; determining the image complexity of the distorted image, and determining a correction degree parameter according to the image complexity; obtaining a smoothing coefficient according to the smoothing function; and according to the smoothing processing coefficient and the second coordinate, performing smoothing correction on the first coordinate to obtain a distortion correction image. Therefore, the pixel coordinate correction is carried out on the distorted image, the definition of the distorted image is improved, the distortion correction of different degrees is carried out on different areas of the image in an adaptive mode according to the complexity of the image, and the loss of the definition of the image is reduced as much as possible while the high timeliness of the algorithm is guaranteed.

The invention discloses a method for assessing the DCT-domain steganography capacity of JPEG images based on a control model of maximizing capacity under undetectable (short for an MCUU model), so that the theory that the steganography capacity is not only related to the sizes of the images and the image complexity but also related to the factors such as specific bearing frequency bands, steganography operators and embedding strength is obtained. By the adoption of the method, the relation of the steganography capacity and the factors such as the image sizes, the bearing frequency bands, the steganography operators, the embedding strength and the image complexity can be analyzed, a rigorous experimental scheme is disclosed, and experiments verify the correctness of the relation model of the steganography capacity and the factors. Compared with other methods, the method has more theoretical value and practical engineering significance.

The invention provides an optimization algorithm based on HEVC / H.265 average code rate control. The algorithm adopts a video evaluation method based on an R-D rate-distortion optimization model and comprises the following steps of firstly, obtaining an original bit of a maximum coding unit through the R-D rate-distortion optimization model, and solving specific gravity of the bits in order to carry out bit allocation of a current maximum coding unit layer; secondly, obtaining an actual average target bit number per pixel bpact through a coded unit in order to obtain actual coding distortion ina video coding process; and lastly, computing coding updating parameters through actual coding distortion in the video coding process, and updating values of video sequence characteristic parametersalpha and beta in the coding process. Through utilization of the algorithm, more accurate code rate control can be carried out on HEVC / H.265, the bits are reasonably allocated according to the complexity of different images, and a better peak signal-to-noise ratio can be obtained to be convenient for a receiving end to obtain a good stable video stream.

An image capturing apparatus and an image capturing method. The apparatus captures and compresses a preview image, and judges an image complexity and determines a preview compressed setting value according to at least one of a set of factors consisting of a compressed setting, a resolution of the preview image and a size of a compressed preview image. Next, the apparatus captures a to-be-captured image, and determines an initial compressed setting value according to at least one of a set of factors consisting of the image complexity, and the resolution of the to-be-captured image and a compressed image target size, which is a new compressed initial value. Then, the apparatus compresses the image according to the initial compressed setting value to obtain a compressed image approaching a predetermined size or speed up a converging speed of an image compressing loop.