Image compression method combining super-resolution reconstruction

Abstract

The invention discloses a video and image lossy compression method for image coding. The method combines traditional JPEG, JPEG2000, H.264 and HEVC-code standard algorithms with super-resolution image reconstruction and designs an image compression method combining the super-resolution reconstruction on the basis. Downsampling is carried out on an input video and image, wherein a downsampling method adopts a Bicubic algorithm and a downsampling multiple is 2. The number of dot arrays of a downsampling image is only 1 / 4 of that of an original image. The encoding rate of the downsampling image is far lower than that of an original input image so that the encoding rate is reduced. At the same time, on the basis that robustness differences of a residual image and a general image are analyzed, a negative-feedback step is introduced in the design so that part of high-frequency detail information lost in a super-resolution image reconstruction step is remedied and reconstructed video or image quality is improved. Compared with the JPEG and the H.264 standard algorithms, the compression method reduces the encoding rate greatly under a situation that image quality is the same.

Description

technical field [0001] The invention relates to image lossy compression technology in the field of image communication, in particular to a new encoding method combining image super-resolution with video and image compression. Background technique [0002] Image compression is the foundation of digital multimedia computing and communication technology, and the lossy compression method for video and image has been the focus of research for many years. With the rapid development of digital multimedia technology, high-definition video and images have been popularized in various fields and people's daily life. High-definition images occupy a large amount of data and the transmission bandwidth in transmission is limited. In the foreseeable future, the resolution and data rate of digital images will be further improved. The codec standards JPEG and JPEG2000 for still image compression are mainly applicable to the codec standards MPEG4 and H.264 for video image compression, which h...

AI Technical Summary

Problems solved by technology

As far as the current super-resolution technology is concerned, the registration problem in video super-resolution and the lack of sufficient additional prior knowledge for super-resolution reconstruction of a single image have largely limited the ability of super-resolution reconstructed images. quality

The inventors of the present application have carried out experiments on the above methods. From the results of the experiments, compared with the traditional coding and decoding standards, these methods have not sufficiently and effectively reduced the coding efficiency under the same image quality for various resolutions and types of videos. code rate

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