JPEG image and wavelet compression image conversion method and system
A technology for image compression and image conversion, which is applied in the field of image processing, can solve the problems of slow conversion speed and high conversion time, and achieve the effect of improving efficiency and reducing time-consuming
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Embodiment 1
[0039] like figure 1 As shown, it is a schematic flow chart of a method for converting a JPEG image of the present invention into a wavelet compressed image in an embodiment, including the following steps:
[0040] S11. Obtain a DCT coefficient matrix after performing entropy decoding and inverse quantization on the input JPEG image;
[0041] For the fast conversion from JPEG image to wavelet compressed image, first entropy decoding and inverse quantization are performed on the JPEG code stream to obtain the coefficients in the DCT (DCT for Discrete Cosine Transform) domain, that is, the DCT coefficient matrix.
[0042] S12. Divide the DCT coefficient matrix into multiple 8×8 matrices to obtain multiple DCT coefficient blocks;
[0043] In the still image coding standard JPEG, the discrete cosine transform is used to transform each row of each 8×8 block in the image, and then transform each column to obtain a DCT composed of multiple 8×8 transform coefficient matrices. The co...
Embodiment 2
[0076] The method for transforming wavelet compressed images into JPEG images is the inverse process of the above-mentioned embodiment one, such as Figure 5 described, including the following steps:
[0077] S51. Perform wavelet decoding on the input wavelet compressed image to obtain a wavelet coefficient matrix;
[0078] For the rapid conversion from wavelet compressed image to JPEG image, firstly, wavelet decoding is performed on the wavelet code stream to obtain the wavelet coefficient matrix;
[0079] S52. Decompose the wavelet coefficient matrix to obtain low frequency subbands and high frequency subbands;
[0080] In the wavelet coefficient matrix, from the perspective of energy, the energy of the image is concentrated in the relatively low-frequency sub-band, that is, the above-mentioned low-frequency sub-band, which records most of the information of the image; while the energy concentrated in the high-frequency sub-band is low, generally It is to record informatio...
Embodiment 3
[0099] Such as Figure 6 As shown, the present invention provides a kind of system that JPEG image is converted into wavelet compressed image, comprises:
[0100] DCT coefficient matrix module 61, carries out entropy decoding and inverse quantization to the input JPEG image, obtains DCT coefficient matrix;
[0101] A segmentation module 62, configured to divide the DCT coefficient matrix into multiple 8×8 matrices to obtain multiple DCT coefficient blocks;
[0102] An extraction module 63, configured to extract DC coefficients and AC coefficients in each DCT coefficient block;
[0103] The first forming module 64 is configured to use all DC coefficients as low-frequency subbands and all AC coefficients as high-frequency subbands, and form a wavelet coefficient matrix according to the low-frequency subbands and high-frequency subbands;
[0104] The wavelet image module 65 is configured to perform wavelet encoding according to the wavelet coefficient matrix to obtain a wavelet...
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