Self-adaptive sampling rate based image sampling method

A technology of adaptive sampling and image sampling, applied in image communication, digital video signal modification, electrical components, etc., can solve the problems of large storage space, difficult hardware implementation, and large number of samples, achieving small storage space, easy implementation, The effect of reducing the number of samples

Active Publication Date: 2014-12-24
嘉善县惠丽包装材料厂
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Problems solved by technology

[0003] However, the existing technology has the following technical defects: due to the different local characteristics of different types of image blocks, although the number of samples at a low sampling rate is reduced, it is difficult to ensure that each block has a high reconstruction quality, and the high sampling rate will It causes a waste of resources, which requires a large number of samples and a large amount of storage space, making hardware implementation difficult

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  • Self-adaptive sampling rate based image sampling method

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Embodiment Construction

[0019] Such as figure 1 As shown, in a preferred embodiment, the present invention includes the following implementation steps:

[0020] For different images, preset T i (i=1,2,3,4) as the decision threshold of the variance of the image block, and T 1 2 3 4 , and use f 1 , f 2 and f 3 Represent three different sampling rates (or sampling frequencies), set the stratification cut-off condition S, the number of image layers is l, and the initial block size of the input image is n.

[0021] For example, the preset first threshold T 1 , the second threshold T 2 , the third threshold T 3 and the fourth threshold T 4 Take 800, 1200, 1800 and 3000 respectively, the initial block n=512, the stratification cut-off condition S is set as the number of layers l≤3, the first sampling rate f 1 , the second sampling rate f 2 and the third sampling rate f 3 They are 0.35, 0.40 and 0.45 respectively.

[0022] Step S1: Calculate the variance σ of the input image 2 .

[0023] Step S...

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Abstract

The invention discloses a self-adaptive sampling rate based image sampling method. The method includes the steps: calculating a variance sigma 2 of an input image, sampling the whole image by a first sampling rate f1 when the variance sigma 2 is smaller than a preset first threshold value T1, or sampling the whole image by a sampling rate f3 when the variance sigma 2 is larger than or equal to a preset fourth threshold value T4, or when the variance sigma 2 is larger than or equal to T1 and smaller than T4, making an image layer l equal to 1, partitioning the image into a plurality of image blocks, obtaining a local variance sigma' 2 of each image block, judging whether the local variance sigma' 2 meeting a preset layering stop condition S or not, if yes, calculating a mean M sigma of local variance sigma' 2 of all image blocks, and selecting different sampling rates adaptively according to the mean M sigma in different ranges. Since the sampling rates are dynamically selected according to local features of images, sampling numbers required for image reconstruction can be decreased to different degrees to enable small space occupancy after subsequent image compression and coding. In addition, the self-adaptive sampling rate based image sampling method has the advantages of simplicity and easiness in implementation, wide application range and the like.

Description

technical field [0001] The invention relates to image compression coding technology, in particular to an image sampling method based on adaptive sampling rate. Background technique [0002] The traditional technology uses a measurement matrix under a single sampling rate (or sampling frequency) for sampling in the image compression codec method. The measurement matrix under a single sampling rate can obtain a better reconstruction effect when the sampling rate is higher. [0003] However, the existing technology has the following technical defects: due to the different local characteristics of different types of image blocks, although the number of samples at a low sampling rate is reduced, it is difficult to ensure that each block has a high reconstruction quality, and the high sampling rate will It causes waste of resources, thus requires a large number of samples and a large amount of storage space, making hardware implementation difficult. Contents of the invention ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/132H04N19/176
Inventor 刘鹏
Owner 嘉善县惠丽包装材料厂
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