De-compressed noise method based on image perception quality

A perceptual quality and decompression technology, applied in the field of image processing, can solve problems such as loss of high-frequency information, poor visual perception, etc.

Inactive Publication Date: 2019-11-15
HANGZHOU ARCVIDEO TECHNOLOGY CO LTD
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AI Technical Summary

Problems solved by technology

At present, most denoising models based on deep learning use mean square error (MSE) as the loss function of the network, but MSE calculates the average value of pixel-level errors. During the training process, the model continuously lear

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  • De-compressed noise method based on image perception quality
  • De-compressed noise method based on image perception quality
  • De-compressed noise method based on image perception quality

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0041] A method for decompressing noise based on image perception quality, specifically comprising the steps of:

[0042] (1) Prepare the data, the specific steps are as follows:

[0043](11) The data set is composed of clear short videos with different contents. Each video has several frames of images. Since the image content of adjacent frames in the same video is very similar, the frames of clear videos are saved in PNG format at regular intervals. , as the label of the noise image, and the noise image is to compress the clear video according to different compression methods, and then save the video frame in PNG format in the same sampling method;

[0044] Specifically, the dataset consists of 250 clear short videos with different content, including animation, movie, sports and other scenes, each video has 50 frames of images, and the resol...

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Abstract

The invention discloses a compressed noise removing method based on image perception quality. Aiming at the characteristics of diversity, instability and the like of noise caused by video compression,a data set is constructed, and a deep residual denoising model is provided; meanwhile, in order to solve the problem that high-frequency information is lost in the denoising process of an existing algorithm, loss calculation based on visual perception characteristics is provided, a denoising model is assisted in learning noise residual errors, and the deep learning technology is utilized to learnactual compression noise to obtain a denoised image. The beneficial effects of the invention are that the method achieves the learning of the actual compression noise through the deep learning technology, and obtains more accurate residual noise; characterization image perception quality characteristics are extracted by using an image quality evaluation model and are used for loss calculation ofa denoising model, so that the denoised image better conforms to visual perception of people.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for decompressing noise based on image perception quality. Background technique [0002] In real life, the process of image digitization and transmission is often affected by imaging equipment and external environmental noise interference, which leads to a decrease in the quality of the acquired image. However, in many image application fields, the requirements for image quality are very high. For example, the image quality of video decreases after compression, and factors such as compression method, compressed bit rate, and video content will cause different noises in the image. Many current denoising methods target a specific noise type, such as Gaussian noise. However, the actual noise is diverse, and there may be multiple noises on an image, which poses a huge challenge to image denoising. [0003] In recent years, with the continuous development ...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06N3/04G06N3/08
CPCG06T5/002G06N3/08G06N3/045
Inventor 徐烂烂陈梅丽谢亚光
Owner HANGZHOU ARCVIDEO TECHNOLOGY CO LTD
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