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Image or video coding method based on predistortion and training filter

A video coding and filter technology, applied in the field of video compression coding and image, to improve the quality of decoded image or video, avoid ringing effect, and reduce bit rate

Inactive Publication Date: 2018-03-09
TIANJIN UNIV
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Problems solved by technology

No combination of these two methods has been found in the field of image and video coding

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  • Image or video coding method based on predistortion and training filter

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Embodiment Construction

[0024] The amount of multimedia data is increasing, and consumers have higher and higher requirements for multimedia quality. Therefore, it is necessary to study an algorithm that can further improve the coding efficiency and ensure a certain coding quality.

[0025] Pre-distortion fuzzing at the encoding end can reduce the amount of data to be encoded and improve encoding efficiency, but poses a challenge to the deblurring function of the reconstruction module at the decoding end. If the transmission blur function will increase the stream overhead, and the traditional deconvolution image deblurring algorithm will cause ringing effect. Therefore, it is of great significance to develop a predistortion-deblurring scheme suitable for video coding.

[0026] The present invention proposes an image or video coding scheme based on predistortion and training filters. This solution performs pre-distortion (fuzzification) processing on the image or video at the encoding end, and does ...

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Abstract

The present invention relates to image and video compression coding. In order to provide an image or video coding method based on pre-distortion and training filters that can improve coding efficiency and avoid ringing effects, thereby ensuring image quality, the method is based on pre-distortion and training filters. The image or video coding method of the device, through the low-pass filter, carries out pre-distortion fuzzy processing to each frame of video sequence before coding; at the decoding end, firstly, a large number of images with various image structures are used to form a training sample library; then , use the classified image to train the filter bank offline; when the decoder reconstructs the blurred image, use ADRC and another classification method to classify the image structure, and find it in the lookup table according to the classification result The corresponding optimal filter coefficients form the optimal filter, which are respectively deblurred according to the image structure category, and finally synthesized to obtain the deblurred image. The invention is mainly applied to image and video compression coding.

Description

technical field [0001] The present invention relates to image and video compression coding, in particular to an image or video coding method based on pre-distortion and training filters. Background technique [0002] With the development of electronic equipment, the Internet and the continuous improvement of people's needs, digital images and video data are being generated and disseminated at an extremely fast speed, and high-definition or ultra-high-definition video has become a development trend. For example, 3D, HDR (high dynamic range), 4K or 8K video, etc., storing or transmitting these video data requires efficient compression methods to reduce the amount of data and ensure the quality of the image. [0003] Mainstream video compression standards mainly include MPEG-2, MPEG-4, H.264 / AVC, HEVC, etc. These compression coding standards use the spatial correlation and temporal correlation of the video sequence to remove a large amount of redundant information in the video...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/117H04N19/147H04N19/13
Inventor 段绿茵徐岩雷志春
Owner TIANJIN UNIV
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