Image compression framework combining super-resolution and residual coding technology
A coding technology and image compression technology, applied in the image compression framework combining super-resolution and residual coding technology, in the field of image super-resolution and image compression, to achieve the effect of improving quality, improving rate-distortion performance, and high compression rate
Inactive Publication Date: 2017-09-19
SICHUAN UNIV
3 Cites 12 Cited by
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The invention discloses an image compression framework combining super-resolution and residual coding technology. The method includes establishing the mapping relationship of an original image and a sampling image compressed in different coding rate in an offline state, and constructing a super-resolution reconstruction model under each coding frequency; sampling the original image under iteration back projection to obtain the sampled small image; compressing the small image via a third-party encoder and transmitting the code stream and the de-noising auxiliary information; reconstructing the decoded small image into a big image at the decoding end by means of the super-resolution reconstruction model; suppressing the compressed noise in the big image through the combination with the de-noising auxiliary information; calculating the residual of the decoded big image and the original image at the coding end and transmitting the residual to the decoding end by means of the residual coding technology; and decoding the residual image at the decoding end, overlapping with the decoded big image, and recovering the final decoded image. An experiment shows that the framework provided can realize the compression ratio higher than JPEG2000.
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