PCNN model-based compression encoding and decoding methods of still image and systems thereof
A still image and encoding system technology, applied in the field of image processing, can solve problems such as large amount of computation and failure to meet real-time requirements, achieve a large compression ratio, and eliminate adverse effects
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[0020] Such as figure 1 Shown, the present invention is based on the still image compression codec method and system of the pulse-coupled neural network model, in the encoding system, the first subsystem adopts the pulse-coupled neural network model to carry out image segmentation to the still image; the second subsystem Encoding the segmentation results, including the encoding of the segmentation block and the encoding of the specific grayscale in the segmentation block; wherein, the encoding of the segmentation block adopts chain code encoding, and the specific grayscale encoding adopts the Schmidt orthogonalization scheme, and the corresponding orthogonal The cross-base coefficients are encoded; in the decoding system, the original image is restored according to the encoded data of the segmented block and the coded data of the gray level of the segmented block.
[0021] A still image compression coding method and system based on the PCNN model, wherein a grayscale still ima...
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