Differential image compression perception reconfiguration method based on multi-hypothesis weighting and intelligent terminal

A technology of compressive sensing reconstruction and difference image, which is applied in the field of image coding and decoding, can solve the problems of loss of details, insufficient reconstruction quality, and over-smoothing of reconstructed images, so as to improve reconstruction quality and alleviate over-smoothing problems

Active Publication Date: 2017-12-15
XIDIAN UNIV
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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: currently, the reconstructed image obtained based on full differential optimization often has image detail and texture distortion, and the reconstructed image has over-smoothness, loss of detail and insufficient reconstruction quality. advanced defects

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  • Differential image compression perception reconfiguration method based on multi-hypothesis weighting and intelligent terminal
  • Differential image compression perception reconfiguration method based on multi-hypothesis weighting and intelligent terminal
  • Differential image compression perception reconfiguration method based on multi-hypothesis weighting and intelligent terminal

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[0052] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0053] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0054] Such as figure 1 As shown, the multi-hypothesis weighted-based differential image compression sensing reconstruction method and intelligent terminal provided by the embodiment of the present invention include the following steps:

[0055] S101: Divide the original image into multiple intersecting blocks according to a fixed block size; use the Hadamard matrix as a measurement matrix to perform block compression sensing processing on the image block, and obtain a measurement va...

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Abstract

The invention belongs to the technical field of image encoding and decoding and discloses a differential image compression perception reconfiguration method based on multi-hypothesis weighting and an intelligent terminal. A cross-block-based block compression sensing process is used to sample an original image to obtain a measurement value. A non-local means fully differential iterative reconstruction algorithm is used to carry out iterative reconfiguration processing on the obtained measurement value, and an initial image reconstruction value is obtained. The multiple-hypothesis set acquisition processing is carried out on a current reconstruction value, and the optimized filtering processing is carried out on an obtained multi-hypothesis set to eliminate an inferior hypothesis. The optimized multi-hypothesis set is processed by using a weight estimation model based on an elastic network, a multi-hypothesis weight matrix is obtained, the weighted summation processing is carried out on the multiple hypotheses to obtain side information, and a more accurate iteration initial value is provided for subsequent iterations. According to the method and the intelligent terminal, the spatial correlation of the image is effectively used, the multi-hypothesis weighting processing is used to effectively relieve an over-smoothing problem of a past reconstruction algorithm, and the image reconstruction quality is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of image encoding and decoding, and in particular relates to a differential image compression perception reconstruction method based on multi-hypothesis weighting and an intelligent terminal. Background technique [0002] As an important information carrier, images occupy an important position in people's information exchange. With the rapid development of mobile Internet and smart phones, people are more and more fond of posting photos to show their lives. Social platforms such as WeChat Moments and Weibo have stimulated people's endless desire to post photos. Posting selfies, posting scenery, etc. almost completely occupy people's social life. However, as an information carrier with a large amount of information, the image will cause great transmission pressure on the limited channel capacity if it is not compressed and encoded to a certain extent. Therefore, high-efficiency codec technology for images h...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00
CPCG06T9/007
Inventor 郑帅阔永红杨龙陈健
Owner XIDIAN UNIV
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