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A Multi-scale Compressive Sensing Progressive Coding Method Based on Region of Interest Priority

A compressed sensing and progressive coding technology, applied in image coding, image data processing, instruments, etc., can solve the problems of high algorithm complexity, complex anti-jamming mechanism, and low anti-jamming performance, so as to reduce loss and excellent anti-jamming characteristics Effect

Active Publication Date: 2017-11-03
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0004] According to research, the current ROI-first progressive image coding technology is based on transform compression coding, such as JPEG2000 is based on wavelet transform, the algorithm complexity is high, and the anti-interference mechanism is complicated, and the anti-interference performance is not high

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  • A Multi-scale Compressive Sensing Progressive Coding Method Based on Region of Interest Priority
  • A Multi-scale Compressive Sensing Progressive Coding Method Based on Region of Interest Priority
  • A Multi-scale Compressive Sensing Progressive Coding Method Based on Region of Interest Priority

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the examples.

[0038] Aiming at the application of wireless image transmission for target detection and recognition, in order to solve the conflict between the high image quality requirements of the detection and recognition task and the wireless channel bandwidth constraints, a multi-scale compressive sensing progressive coding algorithm with region of interest priority is proposed. First of all, the multi-scale compressed sensing measurement technology is selected for image compression. Under the same compression ratio, more image detail information can be maintained. Secondly, in view of the requirement of object detection and recognition for the integrity of reconstructed image texture and edge information, the wavelet-based Contourlet transform is selected as the sparse representation method of compressed sensing, which can extract more direction information, so that the edge contou...

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Abstract

The present invention relates to a multi-scale compressive sensing progressive encoding method with priority of interest region, comprising the following steps: performing ROI detection on an original image; performing WBCT decomposition on the detected ROI, transition zone and background respectively and performing multi-scale compressive sensing measurement, Then ROI-priority encoding is performed on each measured value obtained; if no ROI is detected, WBCT decomposition is performed on the original image and multi-scale compressed sensing measurement is performed, and then progressive encoding is performed. The present invention uses multi-scale compressed sensing technology for image compression, which facilitates the realization of image progressive encoding; the use of compressed sensing measurement also makes the method have excellent anti-interference characteristics; under the same compression ratio, multi-scale compressed sensing can achieve more Preserve image texture, edge and other information.

Description

technical field [0001] The invention relates to a multi-scale compressive sensing progressive encoding method with priority of interest region, in particular to an image compression method applied to wireless transmission. Background technique [0002] Image compression coding for target detection and recognition is usually applied in a wireless channel environment with limited bandwidth, so how to make full use of the limited bandwidth to transmit important information first, such as target area information, and then transmit less important information, such as background information, that is, of interest The research on image compression and progressive coding technology with Region of Interest (ROI) priority has important practical application value for wireless image transmission. [0003] The usual ROI-first progressive image coding technology regards the ROI as known, and encodes the ROI and the background area according to a certain strategy. The JPEG2000 still image...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T9/00
Inventor 赵怀慈杜梅赵春阳
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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