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Multiscale compressed sensing progressive coding method of ROI (Region of Interest)

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, low anti-jamming performance, etc., to reduce losses and achieve excellent anti-jamming characteristics. Effect

Active Publication Date: 2015-07-01
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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  • Multiscale compressed sensing progressive coding method of ROI (Region of Interest)
  • Multiscale compressed sensing progressive coding method of ROI (Region of Interest)
  • Multiscale compressed sensing progressive coding method of ROI (Region of Interest)

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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 invention relates to a multiscale compressed sensing progressive coding method of an ROI. The method comprises the steps that ROI detection is carried out on an original image; WBCT decomposition is carried out a detected ROI, a transitional zone and a background, multiscale compressed sensing measurement is carried out on the detected ROI, the transitional zone and the background, and ROI advance coding is carried out on the measured values; and if the ROI is not discovered, WBCT decomposition and multiscale compressed sensing measurement are carried out on the original image, and progressive coding is then carried out. According to the method, the image is compressed in the multiscale compressed sensing technology, so that progressive coding of the image is realized; the method is excellent in anti-interference performance due to compressed sensing measurement; and compared with compressed sensing, multiscale compressed sensing can maintain more information including image texture and edges under the same compression ratio.

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...

Claims

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Application Information

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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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