Unlock instant, AI-driven research and patent intelligence for your innovation.

Low-light image enhancement method and device

An image enhancement and low-light technology, applied in the field of image processing, can solve problems such as noise amplification and achieve the effect of improving image quality

Active Publication Date: 2020-08-04
XIAMEN MEITUZHIJIA TECH
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are also some low-light image enhancement algorithms based on image fusion, but multiple low-light images are required
[0003] Generally speaking, the traditional low-light image enhancement algorithm is a relatively general algorithm with strong versatility. The disadvantage is that sometimes it is necessary to manually adjust the corresponding parameters to obtain a better enhancement effect.
In addition, the traditional low-light image enhancement algorithm faces the situation of noise amplification while image enhancement

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Low-light image enhancement method and device
  • Low-light image enhancement method and device
  • Low-light image enhancement method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. The components of the embodiments of the application generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0027] Accordingly, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely represents selected embodiments of the application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art w...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

Embodiments of the present application provide a low-light image enhancement method and device. The method includes establishing a denoising network model, a color brightness transformation model, and a detail enhancement network model respectively, wherein the denoising network model, the color brightness transformation network model, and the detail enhancement network The models are all CNN models. The denoising network model, color brightness transformation network model and detail enhancement network model are trained separately, and after the training is completed, the denoising network model, color brightness network model and detail enhancement network model are jointly trained. After the joint training is completed, the target low-light image data is sequentially processed through the denoising network model, the color brightness transformation network model and the detail enhancement network model to obtain the corresponding enhanced image. In this way, the image quality can be jointly improved from the three aspects of denoising, color brightness transformation and detail enhancement.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular, to a low-light image enhancement method and device. Background technique [0002] In related technologies, low-light (low-illumination) image enhancement algorithms are roughly divided into three categories. One category is an enhancement algorithm based on histogram equalization, including DHE (Dynamic Histogram Equalization, DHE), Contrast Limited Adaptive Histogram Equalization (Contrast Limited Adaptive Histogram Equalization, CLAHE), Weighted Approximated Histogram Equalization (Weighted Approximated Histogram Equalization), Context and Variational Contast Enhancement (CVC), Layered Difference Representation (LDR), etc.; one class is based on retinal theory Enhancement algorithm, the other is the enhancement algorithm based on dehazing theory. In addition, there are some low-light image enhancement algorithms based on image fusion, but multiple low-ligh...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06N3/04
CPCG06T2207/20084G06T2207/10024G06N3/045G06T5/77G06T5/70
Inventor 周星光程安张伟刘挺邢晨
Owner XIAMEN MEITUZHIJIA TECH