Image super-resolution and coloring method and system and electronic equipment

A coloring system and super-resolution technology, applied in the field of image processing, can solve the problems of wasting time, difficulty, and unfavorable recovery of color images, etc., and achieve the effect of improving visual perception, saving resources and time
CN110163801AActive Publication Date: 2019-08-23SHENZHEN INST OF ADVANCED TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHENZHEN INST OF ADVANCED TECH
Publication Date
2019-08-23

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Abstract

The invention relates to an image super-resolution and coloring method, an image super-resolution and coloring system and electronic equipment. The method comprises the following steps: step a, designing a new network model by combining image super-resolution and coloring, wherein the network model comprises an encoding module and a decoding module; b, inputting the low-resolution grayscale imageinto a network model; and step c, extracting the semantic feature map of the low-resolution grayscale image through the encoding module, transmitting the semantic feature map to a decoding module, superposing the semantic feature maps of all levels by the decoding module, and outputting a high-resolution color map. The new network model is designed for the super-resolution and coloring problems, the super-resolution and coloring tasks are processed together, the low-resolution grey-scale map is directly mapped to the high-resolution color map, the visual impression of people is improved, and resources and time are saved.
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Description

technical field

[0001] The present application belongs to the technical field of image processing, and in particular relates to an image super-resolution and coloring method, system and electronic equipment. Background technique

[0002] In the field of image processing, image super-resolution and colorization have been two hot research areas. Image super-resolution technology refers to recovering a high-resolution image from a low-resolution image or image sequence. This technology was first proposed in the field of optics, and is now widely used in the fields of image compression, medical imaging, and remote sensing imaging. Traditional super-resolution techniques include: interpolation-based methods (such as: nearest neighbor interpolation method, bilinear interpolation method, bicubic interpolation method, etc.), reconstruction-based methods (such as: non-uniform interpolation method, iterative back-projection method, maximum Posterior probability method, etc.), etc. ...

Claims

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