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A Noisy Image Super-resolution Method

A super-resolution and low-resolution technology, applied in the field of image super-resolution, can solve the problems of image noise amplification, difficult to deal with noisy images, etc., to achieve the effect of image noise suppression, noise elimination, and rich details

Active Publication Date: 2020-07-21
CHENGDU UNIV OF INFORMATION TECH
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Problems solved by technology

[0007] In summary, how to solve the problem that the existing technology is easy to cause image noise amplification during the super-resolution process of digital images, so that it is difficult to deal with noisy images, has become an urgent problem in the field of image super-resolution

Method used

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  • A Noisy Image Super-resolution Method
  • A Noisy Image Super-resolution Method
  • A Noisy Image Super-resolution Method

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Embodiment Construction

[0049] A detailed description will be given below in conjunction with the accompanying drawings.

[0050] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0051] The invention combines a multi-scale image pyramid with a super-resolution method based on second-order expansion, and designs an image super-resolution reconstruction method that is robust to noise by utilizing the noise reduction characteristics of images in each layer of the image pyramid.

[0052] figure 1 is a ...

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Abstract

The present invention relates to a method for super-resolution of noisy images, the method mainly includes the following steps: input a low-resolution noisy image I; perform simple interpolation on the image I, and obtain a preliminary estimate of the low-resolution test image as Obtain image multi-scale pyramids in horizontal, vertical and diagonal directions, and use image multi-scale pyramids to obtain low-resolution test images L k+1 ; Perform Gaussian blur operation on image I to obtain blurred image L k ;Taking the image block as a unit, find out I and L k The mapping function between the internal image blocks, and apply it to the corresponding L k+1 On the internal image blocks, high-resolution image blocks are generated to obtain high-resolution images. The present invention suppresses the noise well during the super-resolution process, and furthermore, the edge details of the reconstructed image are richer and the image deformation is less.

Description

technical field [0001] The invention relates to the field of image super-resolution, in particular to a noise-containing image super-resolution method. Background technique [0002] Limited by the physical conditions of imaging devices (digital cameras, hand-held video cameras, etc.), the acquired digital images often have low resolution and contain noise. Among them, the resolution of a digital image is one of the important indicators to measure the quality of an image. The higher the resolution, the clearer the image and the richer the information it can provide. To a certain extent, the increase in image resolution is accompanied by an increase in the number of pixels. In order to improve the resolution of the image, most of the existing technical means estimate the newly added pixel information inside the high-resolution image through the pixels inside the obtained image (hereinafter referred to as "low-resolution image"). Such technical means are collectively referred...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40G06T5/50G06T5/00
CPCG06T3/4053G06T5/002G06T5/50
Inventor 胡靖吴锡
Owner CHENGDU UNIV OF INFORMATION TECH
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