A method and system for image lossless compression based on variable variable length codes
A lossless compression and image compression technology, applied in the field of image processing, can solve the problems of inability to adapt to long-distance lossless compression and transmission of large data volume images, poor quality of decompressed image data, and low compression ratio of compressed images, so as to reduce information redundancy. redundancy, reduce redundancy, and prevent the spread of errors
Active Publication Date: 2019-05-14
HUAZHONG UNIV OF SCI & TECH
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[0007] Aiming at the above defects or improvement needs of the prior art, the present invention provides a method and system for image lossless compression based on variable variable length codes, the purpose of which is to construct a code table based on variable variable length codes, and then compress images , to obtain the image compression code stream, use the image compression code stream, based on the reversible long code, design the decoding code table and then obtain the decompressed image, thereby solving the problem of low compression ratio, high pixel error rate and decompression of the compressed image. The quality of image data is poor, unable to adapt to the technical problems of lossless compression and transmission of long-distance large-scale images
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[0089] Such as figure 2 As shown, the present invention provides a kind of image lossless compression method based on symmetric variable variable length code, comprises the following steps:
[0090] (1) Image intra-line difference processing steps:
[0091] On the source side for example image 3 Each line of the image to be compressed with a size of 512×512 is processed as follows: the first pixel maintains the original gray value, and the gray values of other pixels are sequentially differentiated forward. Let the original pixel set of an image row be U={u 0 , u 1 , u 2 , u 3 ,...,u Col-1}, where u k Indicates the gray value of the kth pixel, Col is the number of image columns, k=0, 1, 2, ..., Col-1, then the row of pixels after the difference is U′={u 0 , u 1 -u 0 , u 2 -u 1 , u 3 -u 2 ,...,u Col-1 -u Col-2}. And for the first line of the image, the gray value of the original pixel needs to be retained for direct encoding of the data in the first line of...
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The invention discloses an image lossless compression method based on a reversible variable length code and a system thereof. The method is realized through an image lossless compression portion and an image decompression portion. The image lossless compression portion comprises the following steps of for an image to be compressed, based on the reversible variable length code, constructing a coding code list and acquiring code list information; and adding row end sign information and code list information of a row behind each row of a coding code stream, acquiring an image compression code stream and transmitting to the image decompression portion. The image decompression portion comprises the following steps of receiving an image compression code stream; directly acquiring a first row pixel point difference value from a first row image compression code stream; and based on the reversible variable length code, designing a decoding code list and then acquiring a decompressed image. In the invention, based on the reversible variable length code, the coding code list is constructed, and then the image is compressed so as to acquire the image compression code stream; the image compression code stream is used, and based on the reversible variable length code, the decoding code list is designed and then the decompressed image is acquired so that image lossless compression is realized; and the method and the system can be used for lossless compression and transmission of long-distance and large-data-volume images.
Description
technical field [0001] The invention belongs to the field of image processing, and more specifically relates to an image lossless compression method and system based on variable variable length codes. Background technique [0002] In most space exploration technologies, it is essential to transmit images collected by sensors to the ground for research. The images collected by spatial image sensors generally have the characteristics of high resolution, huge format, and multi-band, which directly lead to massive image data and high original code rate. Therefore, image compression technology is very important for image transmission. [0003] Common data compression techniques include lossless compression and lossy compression. Lossy compression can achieve a higher compression ratio at the expense of pixel accuracy; while lossless compression provides a compression technology that does not lose information, and can restore the original image from the compressed data without er...
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IPC IPC(8): H04N19/182H04N19/42H04N19/85
CPCH04N19/182H04N19/42H04N19/85
Inventor 胡静蔡诗聂方力
Owner HUAZHONG UNIV OF SCI & TECH
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