Image pixel sampling value conversion method and device as well as sampling value processing method and device

An image pixel and conversion method technology, applied in the field of video processing, can solve the problems of image color distortion and detail loss, and achieve the effect of reducing image color distortion and detail loss

Inactive Publication Date: 2016-07-06
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found that in the mutual conversion between HDR and standard dynamic range video, if the traditional linear conversion method is used to convert the dynamic range of the image, there are problems such as image color distortion and loss of detail.

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  • Image pixel sampling value conversion method and device as well as sampling value processing method and device
  • Image pixel sampling value conversion method and device as well as sampling value processing method and device
  • Image pixel sampling value conversion method and device as well as sampling value processing method and device

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Embodiment 1

[0029] The present invention provides a method for converting image pixel sampling values, which is used to convert high bit depth pixel sampling values ​​into low bit depth sampling values, such as figure 1 As shown, wherein the bit depth is the number of binary sign bits used to represent the pixel sample value, the main steps include:

[0030] Step 11. Divide the value range of the high-bit-depth pixel sampling value into multiple segments, and determine the metadata of the segmentation endpoints, wherein the metadata includes the high-bit-depth pixel sampling values ​​and the sum of the segmentation endpoints. The corresponding low bit depth sample value.

[0031] A method for determining the segmentation endpoint metadata is: analyzing the image to determine the statistical histogram information of the image; according to the statistical histogram information, determining the parameters of the adaptive quantization function; according to the adaptive quantization function...

Embodiment 2

[0054] Corresponding to the image sampling value conversion method, the present invention also provides an image sampling value processing method for converting low bit depth pixel sampling values ​​into high bit depth sampling values, such as figure 2 As shown, wherein, the bit depth is to represent the number of binary sign bits used by the pixel sample value, and the main steps include:

[0055] Step 21. Determine segment endpoints according to the metadata, and divide the value range of the low-bit-depth pixel sample values ​​into multiple segments, wherein the metadata includes the low-bit-depth pixel sample values ​​and The corresponding high bit depth sample value.

[0056] Step 22, according to the metadata, determine the segment where the low bit depth pixel sampling value in the image is located;

[0057] Step 23. According to the metadata of the segmentation endpoint, calculate the high bit depth sample value corresponding to the low bit depth pixel sample value; ...

Embodiment 3

[0069] The present invention also provides an image pixel sampling value conversion device 3, which is used to convert high bit depth pixel sampling values ​​into low bit depth sampling values, such as image 3 , wherein the bit depth is the number of binary sign bits used to represent the pixel sample value. The device contains the following modules:

[0070] The first determination unit 31 is input with high-bit image data, divides the value range of the input high-bit-depth image pixel sampling value into a plurality of segments, and determines the metadata of the segment endpoints, wherein the metadata includes all The high-bit-depth pixel sampling value of the segmentation endpoint and the corresponding low-bit-depth sampling value; output the metadata of each segmentation endpoint to the input terminal of the second determination unit 32 .

[0071] The second determination unit 32, the input terminal is connected to the output terminal of the first determination unit 31...

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Abstract

The invention provides an image pixel sampling value conversion method and device as well as a sampling value processing method and device, which are used for converting a high-bit depth pixel sampling value into a low-bit depth sampling value. The image pixel sampling value conversion method comprises the steps of dividing a value range of the high-bit depth pixel sampling value into one or more segments and determining metadata of segment endpoints, wherein the metadata comprise high-bit depth pixel sampling values of the segment endpoints and corresponding low-bit depth sampling values; determining segments which the high-bit depth pixel sampling values in an image belongs to according to the metadata; and calculating the low-bit depth sampling values corresponding to the high-bit depth pixel sampling values based on the metadata of the segment endpoints. Through a processing way of converting the high-bit depth pixel sampling values into the low-bit depth sampling values, image color distortion and detail loss in mutual conversion of a video between a HDR (High Dynamic Range) and a standard dynamic range are reduced.

Description

technical field [0001] The invention belongs to the field of video processing, in particular to a method and device for image pixel sampling value conversion and sampling value processing. Background technique [0002] Traditional low dynamic range images and videos can only reflect a limited brightness range, while high dynamic range (HighDynamicRange, HDR) images and videos can reflect a larger brightness range, greatly expand contrast and color, and display real scenes more realistically . [0003] In the processing of HDR images and videos, HDR images and videos need to be converted with standard dynamic range or low dynamic range videos to adapt to applications under different conditions and occasions. [0004] In the process of realizing the present invention, the inventors found that in the mutual conversion between HDR and standard dynamic range video, if the traditional linear conversion method is used to convert the dynamic range of the image, there are problems s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N5/232H04N5/235
CPCH04N19/132H04N19/98H04N21/234318H04N21/440218H04N23/80H04N23/741
Inventor 郑喆坤付庆涛杨歌
Owner XIDIAN UNIV
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