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An Image Adaptive Measurement Method Based on Compressed Sensing

A measurement method and compressed sensing technology, applied in image communication, digital video signal modification, electrical components, etc., can solve problems such as reducing the amount of sampling data, burden, transmission cost and data transmission space, and achieve the effect of improving compression efficiency

Active Publication Date: 2017-02-08
SHANGHAI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

On the one hand, in order to obtain high-resolution images, the traditional Nyquist sampling theorem, which is not less than twice the bandwidth of the original signal, is used to sample the signal, which places a very heavy burden on hardware devices
On the other hand, in practical applications, in order to reduce transmission and storage costs, a large amount of non-important data information is discarded in compressed form.
This high sampling rate then compresses the data, wasting a lot of sampling data
So this question is introduced: Since a lot of sampled data has been discarded in the compression process, why not just take a small amount of useful data directly when sampling? If we can solve this problem, we can greatly reduce the sampling frequency of data, and at the same time reduce the transmission cost and data transmission space
[0004] CS theory greatly improves the utilization rate of useful data and reduces the amount of sampled data, so it has been widely used in image compression, but the current CS-based image compression ignores human subjective characteristics

Method used

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  • An Image Adaptive Measurement Method Based on Compressed Sensing
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  • An Image Adaptive Measurement Method Based on Compressed Sensing

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Experimental program
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Embodiment 1

[0028] This embodiment is based on an image adaptive measurement method in compressed sensing, see figure 1 , including the following steps:

[0029] (1) Establish a just discernible distortion threshold model for the input image,

[0030] (2) For different image regions, adaptively adopt different measurement numbers for measurement,

[0031] (3) Carry out block orthogonal matching pursuit algorithm reconstruction,

[0032] (4) Perform inverse discrete cosine transform to generate an image.

Embodiment 2

[0033] Embodiment 2: This embodiment is basically the same as Embodiment 1, and the special features are as follows:

[0034] In the above-mentioned step (1), the input image is established with just a discernible distortion threshold model, see figure 2 :

[0035] (1-1) The spatial contrast sensitivity function model is based on the bandpass characteristic curve of the human eye, for a specific spatial frequency Its basic JND threshold can be expressed as:

[0036]

[0037] spatial frequency The calculation formula is:

[0038]

[0039] in, and Indicates the coordinate position of the 8×8 DCT transform block, and Indicates the horizontal and vertical angles of view. It is generally considered that the horizontal angle of view is equal to the vertical angle of view, which is expressed as:

[0040]

[0041] Since the visual sensitivity of the human eye is more sensitive to the horizontal and vertical directions, the sensitivity to other directions is rel...

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Abstract

The invention relates to an image adaptive measuring method based on compressed sensing. The operation steps of the method are as follows: (1) a just noticeable distortion threshold model is built for an input image; (2) measurement is performed by adopting different measuring numbers in an adaptive manner on different image areas; (3) partitioning orthogonal matching pursuit reconstruction is performed; and (4) inverse Discrete Cosine Transformation is performed and an image is generated. The image adaptive measuring method has made improvement in the measuring process of image compressed sensing, changes a conventional method of performing single number measurement on all areas of the image, and adopts adaptive measurement on the different areas of the image according to visual characteristics of human eyes. The image adaptive measuring method helps to improve the compression efficiency of the image when the subjective quality and the objective quantity are guaranteed to remain unchanged.

Description

technical field [0001] The invention relates to the image compression field of compressed sensing, in particular to an image adaptive measurement method based on compressed sensing, which is suitable for improving the compression efficiency of images. Background technique [0002] With the rapid development of information technology, information globalization has become an inevitable trend in the development of science and technology. In the image field, people's requirements for high-definition images are very urgent. On the one hand, in order to obtain high-resolution images, the traditional Nyquist sampling theorem, which is not less than twice the bandwidth of the original signal, is used to sample the signal, which places a very heavy burden on hardware devices. On the other hand, in practical applications, in order to reduce transmission and storage costs, compression is used to discard a large amount of non-important data information. Compressing the data after such...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/115H04N19/147H04N19/176H04N19/625
Inventor 王永芳商习武罗丽冬宋允东张兆杨
Owner SHANGHAI UNIV
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