Image compression method based on all phase discrete sine double orthogonal transformation and system
A discrete sine, image compression technology, applied in the field of image processing, can solve problems such as poor real-time performance, low efficiency, and large time consumption, and achieve the effect of saving memory, simplifying calculation, and improving compression performance
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Embodiment 1
[0086] Such as image 3 As shown, in the present invention, the necessary technical features of the prior art are distinguished: the all-phase column rate filter is used for discrete sine transform, and a new type of transform—all-phase discrete sine biorthogonal transform is obtained.
[0087] The present invention adopts the transformation matrix of the VII type size used in the H.265 standard to be N×N two-dimensional discrete sine transform (DiscreteSine Transform, DST):
[0088] S ( i , j ) = 2 2 N + 1 s i n ( 2 i + 1 ) ( j + 1 ) π ...
Embodiment 2
[0107] In the present invention, the necessary technical features different from the prior art are: a new type of transformation is proposed, that is, full-phase discrete sine biorthogonal transformation, and it is used to replace the discrete cosine transformation in the JPEG standard, and a unified quantization step is used Long and uniform quantization replaces the complex quantization table in the original JPEG standard and is applied to image compression. The present invention can be realized based on software. Such as figure 1 As shown, the original image is input, the image is divided into 8×8 image blocks, and all-phase discrete sine biorthogonal transformation is performed on the blocks, and the corresponding quantization step size is formulated according to different bit rate requirements, and the transformation coefficients are uniform Quantization, followed by predictive encoding of the DC coefficient (DC), Zig-zag scanning and run-length encoding of the AC coeffi...
Embodiment 3
[0119] The core codec system of the JPEG image compression standard based on all-phase discrete sine biorthogonal transform mainly includes 8 modules. -zag scan followed by Huffman encoding. At the decoding end, Huffman decoding is performed first, then Zig-zag inverse scanning is performed, followed by inverse quantization, and finally inverse APDSBT is performed.
[0120] Based on all-phase column-rate filtering and discrete sine transform, an all-phase discrete sine biorthogonal transform is proposed to improve the encoding performance of JPEG, and uniform quantization is used in quantization, which simplifies the quantization process.
[0121] Aiming at the low efficiency of using traditional processors to encode and decode images with JPEG, a parallel APDSBT-JPEG image encoding and decoding system using graphics processors is proposed.
[0122] CUDA is a general-purpose parallel computing architecture launched by Nvidia for graphics processors in 2007. CUDA uses a C-like...
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