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Image processing method and device, electronic equipment and computer readable storage medium

An image processing and image technology, applied in the field of image processing, can solve problems such as target image artifacts

Pending Publication Date: 2020-07-10
GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The current CNN-based SR algorithm has artifacts in the target image obtained after the image is scaled.

Method used

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  • Image processing method and device, electronic equipment and computer readable storage medium
  • Image processing method and device, electronic equipment and computer readable storage medium
  • Image processing method and device, electronic equipment and computer readable storage medium

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Embodiment Construction

[0062] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0063] It can be understood that the terms "first", "second" and the like used in this application can be used to describe various data herein, but these data are not limited by these terms. These terms are only used to distinguish the first data from another data. For example, a first resolution feature map could be termed a second resolution feature map, and, similarly, a second resolution feature map could be termed a first resolution feature map, without departing from the scope of the present application. feature map. Both the first resolution feature map and the se...

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Abstract

The embodiment of the invention provides an image processing method and device, electronic equipment and a computer readable storage medium. The method comprises the steps: obtaining a to-be-processedimage and a zoom ratio value of the to-be-processed image; performing feature extraction on the to-be-processed image to obtain a first resolution feature map and a corresponding size; performing convolution kernel prediction processing according to the size of the first resolution feature map and the zoom ratio value to obtain a predicted convolution kernel, and performing convolution processingon the first resolution feature map by using the predicted convolution kernel to obtain a second resolution feature map; and performing feature extraction processing on the second resolution featuremap to obtain a second resolution image. According to the invention, a resolution reconstruction task with any zoom magnification can be realized, the artifact problem caused by directly outputting the image after the resolution is adjusted is avoided, and the quality of the image after the image resolution is adjusted is improved.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to an image processing method, device, electronic equipment and computer-readable storage medium. Background technique [0002] Image processing includes image resolution adjustment, for example, adjusting a low-resolution image to a high-resolution image, which is called image super-resolution (Super-Resolution, SR for short) reconstruction; or adjusting a high-resolution image to a low-resolution image. The SR algorithm can effectively improve image or video resolution. SR reconstruction algorithms are mainly divided into two categories, one is the SR algorithm based on Convolutional Neural Networks (CNN for short), and the other is the non-CNN SR algorithm, also known as the traditional SR algorithm. Learning ability, the SR algorithm based on CNN has achieved an absolute advantage in the performance of reconstruction results. [0003] At present, there a...

Claims

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Application Information

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IPC IPC(8): G06T3/40G06T5/00G06N3/04
CPCG06T3/4046G06T3/4053G06T3/4023G06T2207/20081G06T2207/20084G06N3/045G06T5/77Y02D10/00
Inventor 李兴龙
Owner GUANGDONG OPPO MOBILE TELECOMM CORP LTD
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