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Image quality improvement method

An image quality and image technology, applied in the field of image processing, can solve problems such as the inability to improve the quality of low-resolution images, and achieve the effect of ensuring quality improvement and reducing redundant information

Inactive Publication Date: 2018-02-23
CTRIP COMP TECH SHANGHAI
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the defect that the quality of low-resolution images cannot be significantly improved in the prior art, and to provide a method for improving the image quality of low-resolution images with strong practicability and obvious quality improvement effects

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Embodiment Construction

[0048] The present invention is further illustrated below by means of examples, but the present invention is not limited to the scope of the examples.

[0049] Such as figure 1 As shown, the image quality promotion method of the present invention comprises the following steps:

[0050] Step 101, establishing an image deblocking effect model based on deep learning;

[0051] Step 102, establishing an image super-resolution model based on deep learning;

[0052] Step 103, fusing the image deblocking model and the image super-resolution model to process the target image to improve the quality of the target image.

[0053] The image quality improvement method of the present invention can automatically improve the quality of low-resolution images, wherein low-resolution images refer to images with a pixel size below 550×412, that is, the pixel size of the target image is below 550×412.

[0054] Among them, such as figure 2 As shown, step 101 specifically includes the following ...

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Abstract

The invention discloses an image quality improvement method. The method comprises the following steps of S1, establishing a deep learning-based image deblocking effect model; S2, establishing a deep learning-based image super-resolution model; and S3, fusing the image deblocking effect model and the image super-resolution model, and processing a target image to improve the quality of the target image. According to the image quality improvement method, the image deblocking effect model and the image super-resolution model are fused to realize automatic improvement of the quality of the low-resolution image, the image blurring problem and the image blocking effect problem occurring in a magnification process of the low-resolution image are fully considered, while the blocking effect of the low-resolution image is removed, the redundant information brought by image magnification is also greatly reduced and the quality improvement effect of the low-resolution image is guaranteed.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method for improving image quality. Background technique [0002] Images contain rich and intuitive information. At present, in the fields of social networking, shopping, and tourism on the Internet, a large number of images are needed to convey information to users. Due to the many sources of Internet images, the image quality is uneven, and there are many low-resolution images. During the display process of these images, the problem of image blur will appear due to the enlargement of the size, and the enlargement of the size will also make the image blurred. The blocking effect is more serious, and these low-quality images seriously affect the user experience. With the rapid development of the Internet, image providers use many ways to obtain a large number of images every day. Manually processing low-resolution images is particularly time-consuming and requires a lot of labo...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06T5/50
CPCG06T3/4053G06T5/50G06T2207/20084G06T2207/20081G06T5/73
Inventor 李翔鲁明捷李发科赵华熊斌
Owner CTRIP COMP TECH SHANGHAI
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