Image preprocessing method and device for jpeg-ls lossless compression algorithm to prevent code stream overflow
A JPEG-LS and image preprocessing technology, applied in image communication, digital video signal modification, electrical components, etc., can solve the problems that affect the interpretation of satellite remote sensing images, do not support asymptotic transmission of code stream, and uncontrollable code rate, etc. To achieve the effects of easy modular design, avoiding floating-point operations, and simple and effective design
Active Publication Date: 2019-12-20
XIAN INSTITUE OF SPACE RADIO TECH
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[0003] The problem of code stream overflow is not new in the field of image compression. However, the previous compression coding algorithms with controllable bit rate, such as JPEG2000, CCSDS, SPITE and other compression algorithms, only lose the detailed information of the image when the code stream overflows. The main information of the image will not be lost, and the analysis work of subsequent satellite data will not be seriously affected
The JPEG-LS lossless compression algorithm is a quality-controllable compression coding algorithm, the code rate is uncontrollable, and it does not support the asymptotic transmission of the code stream. Starting from the position, all subsequent image information will be lost, and it will appear visually as image bad blocks with default pixel information at the end of the reconstructed image, which will seriously affect the subsequent interpretation of satellite remote sensing images
At present, because the JPEG-LS lossless compression algorithm is not widely used in satellite remote sensing systems, and the code stream overflow phenomenon will only occur under certain specific conditions, so the research on the anti-code stream overflow problem of JPEG-LS lossless compression coding is still in progress. Has not received the attention of relevant designers, and there are few related research literatures
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[0033] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.
[0034] This embodiment provides an image preprocessing method for JPEG-LS lossless compression algorithm to prevent code stream overflow, the steps are as fol...
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The invention discloses an image preprocessing method and device for preventing code stream overflow of the JPEG-LS lossless compression algorithm. The method comprises the following steps: a divisionstep, a judgment step, an image preprocessing step, a first lossless compression coding step and a second lossless compression coding step. By adoption of the image preprocessing method and device, the problem of possible code stream overflow of the JPEG-LS lossless compression algorithm during application is well solved, and the relative independence of the JPEG-LS lossless compression coding module is also retained, and modular design is easy to achieve.
Description
technical field [0001] The invention belongs to the field of digital image compression, in particular to an image preprocessing method and device for JPEG-LS lossless compression algorithm to prevent code stream overflow. Background technique [0002] With the development of satellite remote sensing imaging technology and the continuous improvement of users' requirements for ground resolution and width, the resolution of images acquired by remote sensing satellites is getting higher and higher, which causes a sharp increase in the amount of image data to be stored and transmitted. The data transmission system brings enormous pressure. In order to solve the contradiction between massive high-speed data transmission and limited transmission bandwidth, data compression technology must be adopted. The current on-board data compression technology is mainly divided into two categories, lossless compression and lossy compression. Lossless compression is to encode the compressed im...
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IPC IPC(8): H04N19/18H04N19/119H04N19/146H04N19/48H04N19/70H04N19/85
CPCH04N19/119H04N19/146H04N19/18H04N19/48H04N19/70H04N19/85
Inventor 侯舒维董刚蒙红英
Owner XIAN INSTITUE OF SPACE RADIO TECH