Image processing method and system, resolution enhancement method, readable storage medium
An image processing and resolution technology, applied in the field of image processing, which can solve the problems of unreal high-resolution images and lack of detailed information.
Active Publication Date: 2021-03-05
BOE TECH GRP CO LTD
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[0003] In current super-resolution reconstruction methods, high-resolution images reconstructed based on low-resolution images often lack detail information, resulting in high-resolution images that look unreal
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[0137] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0138] Image super-resolution reconstruction is a technique to increase the resolution of the original image to obtain a higher-resolution image. In image super-resolution reconstruction, reconstruction distortion and perceptual distortion are used to evaluate the reconstruction effect of super-resolution, and reconstruction distortion is used to measure the degree of objective difference between the reconstructed image and the reference image. The specific evaluation criteria include average square error (MSE), similarity (SSIM), peak signal-to-noise ratio (PSNR), etc.; perceptual distortion is more concerned with making images look more like natural images. f...
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The present invention provides an image processing method and system, an image resolution improvement method, and a computer-readable storage medium. The image processing method includes: using a generation network to iteratively process the resolution improvement steps of the input image, and each resolution improvement step includes: Obtaining the feature image of the image to be processed and the image of the noise to be processed; connecting the feature image of the image to be processed with the image of the noise to be processed to obtain the first merged image; generating a super-resolution feature image based on the image to be processed; the first time In the resolution improvement step, the feature image of the image to be processed is the feature image of the input image; in the resolution improvement step except for the first time, the feature image of the image to be processed is the super-resolution generated by the last resolution improvement step Feature image; in each resolution upscaling step, the magnitude of the noise to be processed is equal. The present invention can obtain super-resolution images that meet actual needs.
Description
technical field [0001] The present invention relates to the field of image processing, in particular to an image processing method and system, an image resolution improving method, and a computer-readable storage medium. Background technique [0002] Convolutional neural network is a common deep learning network, which has been widely used in the field of image processing to achieve image recognition, image classification and image super-resolution reconstruction. [0003] In current super-resolution reconstruction methods, high-resolution images reconstructed based on low-resolution images often lack detail information, resulting in unrealistic high-resolution images. Contents of the invention [0004] The present invention aims to solve at least one of the technical problems existing in the prior art, and proposes an image processing method and system, and a computer-readable storage medium. [0005] In order to achieve the above object, the present invention provides a...
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IPC IPC(8): G06T3/40G06T5/00
CPCG06T3/4007G06T3/4046G06T3/4053G06T2207/10004G06T2207/10024G06T2207/20084G06T2207/20081G06T5/70
Inventor 那彦波朱丹刘瀚文
Owner BOE TECH GRP CO LTD