Image self-adaptation down-sampling method depending on interpretation

An adaptive and interpolation technology, applied in the direction of image communication, television, electrical components, etc., can solve the problem of not considering the image and so on

Inactive Publication Date: 2012-11-07
HARBIN INST OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] At present, these image downsampling methods have been widely used,

Method used

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  • Image self-adaptation down-sampling method depending on interpretation
  • Image self-adaptation down-sampling method depending on interpretation
  • Image self-adaptation down-sampling method depending on interpretation

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specific Embodiment approach 1

[0014] Specific implementation mode one: combine figure 1 Describe the present embodiment, the interpolation-dependent image adaptive downsampling method described in the present embodiment, it comprises concrete steps as follows:

[0015] Step 1. Generate a downsampled image for a given interpolation method and input image, and interpolate a high-quality upsampled image from the downsampled image;

[0016] Step 2. For the up-sampled image obtained in step 1, adopt a block-based image adaptive down-sampling method, use the information related to the current block and use the cumulative sum of the product of it and the corresponding interpolation coefficient as a constant vector to improve the down-sampling method. The quality of the sampled image;

[0017] Step 3, judging whether it is an interpolation irrelevant to the content; if yes, execute step 4; if not, execute step 5;

[0018] Step 4, a content-independent interpolation-dependent image adaptive downsampling method, c...

specific Embodiment approach 2

[0021] Specific embodiment two: the specific process of step one in the interpolation-dependent image adaptive downsampling method described in specific embodiment one is:

[0022] Let Y denote the input image of size M×N, and X denote the downsampled image of size M / 2×N / 2, Indicates the upsampled image generated after interpolation; the purpose of adaptive downsampling is to obtain a subsampled image, from which we can obtain a higher quality interpolated image; therefore, X needs to satisfy:

[0023] X = arg min x | | Y ^ - Y | | 2 - - - ( 1 )

[0024] where X=[X 0，0 , X 0，1 ,...,X 0，N / 2-1 , X 1，0 , X 1，1 ,...,X 1，N / 2-1 ,...,X M / 2-1，0 , X M / 2...

specific Embodiment approach 3

[0035] Embodiment 3: The specific process of step 2 in the interpolation-dependent image adaptive downsampling method described in Embodiment 1 is as follows:

[0036] A block-level interpolation-dependent image adaptive downsampling method described by m×n-sized blocks and bilinear interpolation, figure 2 The size of the middle block is 8x8 and all points surrounded by solid lines belong to the same block. It is obvious that most interpolated pixels utilize pixels within the same block. However, for some boundary pixels, the interpolation also involves some pixels outside the current block, such as figure 2 For gray pixels in , the interpolation process involves downsampled pixels outside the current window. If all the downsampled pixels in the same block are represented as a column vector, which is the solution of the present invention, other unknown variables will be introduced (outside the current block, and the downsampled pixels involved in the interpolation of the c...

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Abstract

An image self-adaptation down-sampling method depending on interpretation relates to image and video processing, and solves a problem that the current down-sampling and up-sampling are always independent, but image and video processing always needs both the down-sampling and the up-sampling synchronously. The method comprises the steps as follows: steps I, on a given input image, a down-sampling image is generated, and the down-sampling image interpolates an up-sampling image; steps II, adopting a down-sampling method based on a block, the quality of sampled images is improved; steps III, whether the images is related to content or not is judged, if so, a step IV is executed, and otherwise, a step V is executed; steps IV, for down-sampling is not related to the content, interpretation coefficient forms a interpretation matrix, a down-sampling image is obtained via the inversion of an interpretation process; and steps V, if not related to the content, initial coefficient is provided, an initial down-sampling image is obtained by using a method not related to the content, new interpretation coefficient is trained according to obtained images, and the down-sampling image is obtained via iteration. The method is applicable to the image and video processing.

Description

technical field [0001] The present invention relates to image and video processing. Background technique [0002] With the rapid development of electronic technology and computer hardware technology, a variety of display devices with different resolutions emerge in an endless stream. How to effectively convert the same image or the same sequence between display devices with different resolutions will be a challenge. A very challenging technique. Efficient image down-sampling and up-sampling have an important impact on the quality of converted images. In addition to converting between different display devices, image down-sampling and up-sampling are also widely used in low-bit-rate image compression and spatial domain Scalable Video Coding. [0003] Image downsampling can usually be divided into spatial downsampling and frequency domain downsampling. In spatial downsampling, downsampling can be done by uniformly retaining the original pixels at the same interval (direct do...

Claims

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Application Information

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IPC IPC(8): H04N7/26H04N7/46H04N19/132
Inventor 张永兵赵德斌高文
Owner HARBIN INST OF TECH
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