Super-resolution image reconstruction method and device, medium and computing equipment

A super-resolution and image reconstruction technology, applied in the field of image processing, can solve the problems of poor super-resolution image effect, super-resolution image blur, super-resolution image aliasing effect, etc., to achieve good effect and avoid aliasing effect Effect

Active Publication Date: 2018-06-01
ZHEJIANG DAHUA TECH CO LTD
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Problems solved by technology

[0006] The present invention provides a super-resolution image reconstruction method, device, medium and computing equipment, which are used to solve the problem that the super-resolution image reconstructe

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  • Super-resolution image reconstruction method and device, medium and computing equipment
  • Super-resolution image reconstruction method and device, medium and computing equipment
  • Super-resolution image reconstruction method and device, medium and computing equipment

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Embodiment Construction

[0027] The super-resolution image reconstruction method provided by the present invention will be described in more detail below with reference to the accompanying drawings and embodiments.

[0028] The embodiment of the present invention provides a super-resolution image reconstruction method, such as figure 1 Shown, including:

[0029] Step 101: Extract the brightness image and the color image of the original image.

[0030] Specifically, when the original image is a color image, the original image including brightness information and color information are not empty; when the original image is a black and white image, the original image including the brightness information is not empty, and the original image The color information is empty, that is, the original image does not include color information. The embodiment of the present invention uses the brightness information in the original image as the brightness image of the original image, and uses the color information of the o...

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Abstract

The invention provides a super-resolution image reconstruction method and device, a medium and computing equipment. The method comprises the steps that the brightness image and the color image of an original image are extracted; up-sampling processing is performed on the brightness image so as to obtain a first brightness image; the first brightness image is inputted to N layers of convolutional neutral networks which are obtained pre-training and used for outputting high-frequency images, N layers of convolutional forward processing is performed on the first brightness image in the N layers of convolutional neutral networks and a first high-frequency image is obtained, wherein N is an integer greater than 3; the first brightness image is fused with the first high-frequency image so as toobtain a second brightness image; and the second brightness image is fused with the color image so as to obtain the super-resolution image of the original image. The super-resolution image of the original image obtained through reconstruction can include more image details so that the super-resolution image effect is great.

Description

Technical field [0001] The present invention relates to the technical field of image processing, in particular to a super-resolution image reconstruction method, device, medium and computing equipment. Background technique [0002] At present, the image super-resolution reconstruction technology refers to the digital image processing technology that produces high-resolution and high-quality images from one or more low-resolution and low-quality images. The resolution of a digital image here refers to the spatial resolution of the image, that is, the number of pixels per inch of the image, and the unit of resolution is dpi (dots per inch). It is not difficult to understand that the greater the resolution, the greater the amount of image information and the clearer the image. Obtaining higher-resolution images from low-resolution images is a "out of nothing" process, that is, to estimate more information from the existing information. [0003] As a method that can significantly imp...

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Application Information

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IPC IPC(8): G06T3/40G06T5/50G06N3/04
CPCG06T3/4053G06T5/50G06T2207/20221G06T2207/20084G06N3/045
Inventor 杨长久
Owner ZHEJIANG DAHUA TECH CO LTD
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