End-to-end anti-blocking low-illumination image enhancement method

Abstract

The invention belongs to the field of image enhancement, and particularly relates to an end-to-end anti-blocking low-illumination image enhancement method. The method comprises the following steps: firstly, processing collected data, and dividing the processed data into test data and training data; and constructing an end-to-end image enhancement network structure, and inputting the training data into the end-to-end network structure for multiple rounds of training; in a training process, calculating a boundary loss smooth block boundary of the compressed image by adopting a mean square two-norm difference value of a minimum network prediction image and a truth value image; calculating a block similarity loss value of the network prediction map and the true value map, constructing a structure similarity loss value to carry out parameter adjustment of the end-to-end network, optimizing the network structure, and obtaining a trained end-to-end image enhancement network; and inputting test data into the trained end-to-end image enhancement network structure to obtain a final enhanced image. Compared with the prior art, the method provided by the invention solves the problem that the lossy compression low-illumination image block effect is amplified.

Description

technical field [0001] The invention belongs to the field of image enhancement, in particular to an end-to-end anti-block effect low-illuminance image enhancement method. Background technique [0002] Good lighting is an important factor to ensure image quality. When an image is captured from a low-light environment or the image obtained is an underexposed image, there are generally disadvantages such as low brightness, low contrast, and fuzzy details. It needs to be brightened. Enhanced processing for better visuals. Low-light image enhancement selectively highlights the features of interest in the image or suppresses some unwanted features in the image by transforming the data, so that the image matches the visual response characteristics, which can not only effectively improve the visual perception of images and videos, but also It provides a good preprocessing basis for vision processing applications such as target detection and tracking. In practical applications, due...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an end-to-end anti-blocking effect low-light image enhancement method to solve the technical problem in the prior art that the blocking effect is amplified during the compressed image enhancement process

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