Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Methods and systems for denoising images

A technology in images and images, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as poor results and reduced image clarity

Active Publication Date: 2015-12-09
SPREADTRUM COMM (SHANGHAI) CO LTD
View PDF5 Cites 20 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Removing noise from images with as little loss of image clarity as possible is a big challenge
Although there are many image processing techniques in the prior art, their effects are not good due to various reasons

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
  • Methods and systems for denoising images
  • Methods and systems for denoising images
  • Methods and systems for denoising images

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0030] In the following description, for purposes of explanation, numerous details are set forth in order to provide a thorough understanding of various embodiments of the invention. It will be apparent, however, to one skilled in the art that embodiments of the invention may be practiced without some of these details. In other instances, some well-known structures and algorithms are shown in block diagram form.

[0031] In recent years, various denoising algorithms have been proposed. Among them, patch-based non-local solutions (patch-based non-local solutions), such as three-dimensional block matching (BM3D: Block-matching3D) filtering, are relatively advanced algorithms. The core of BM3D is to search and group similar patches, and collaboratively perform a denoising model on said similar patches in the 3-dimensional (3-D) transform domain. After a shrinking process such as a hard threshold filter or a Wiener filter, the denoised blocks obtained by the inverse 3D transform...

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

Shrinkage function model associated training schemes are used to facilitate obtaining denoised patches, and more particularly, to removing noise from images.

Description

Background technique [0001] Digital imaging has proliferated over the past few decades. Most images are acquired digitally, and analog images are also converted to digital graphics for processing, storage and display. Consumers and professionals alike have high requirements and expectations for image quality. Noise level is an important aspect affecting image quality. Various noises exist in images, such as chroma noise and lumna noise from image sensors and compression noise from image processing. Removing noise from images with as little loss of image clarity as possible is a big challenge. Although there are many image processing techniques in the prior art, their effects are not good due to various reasons. Therefore, it is necessary to propose a new image noise reduction method and system. Contents of the invention [0002] The present invention provides multiple embodiments of the method and system for denoising algorithms of Bayer color filter array (CFA: color f...

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 Applications(China)
IPC IPC(8): G06T5/20G06T5/50
CPCG06T5/20G06T5/50G06T5/10G06T2207/10024G06T5/70G06T2207/20052G06T2207/20064
Inventor 陈敏杰张乐牛海军林福辉
Owner SPREADTRUM COMM (SHANGHAI) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products