Tone mapping method based on edge-preserving total variation model

An edge-preserving and tone-mapping technology, applied in the field of image processing, can solve problems such as image edge blur, LDR image halo phenomenon, and increase smoothness

Inactive Publication Date: 2013-04-03
SUN YAT SEN UNIV
View PDF3 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, increasing the smoothness, the edges of the image will be bl...

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
  • Tone mapping method based on edge-preserving total variation model
  • Tone mapping method based on edge-preserving total variation model
  • Tone mapping method based on edge-preserving total variation model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0029] The invention overcomes the shortcoming that the tone mapping method based on fast bilateral filtering may produce halo phenomenon, and proposes a tone mapping method based on an edge-preserving full variation model. The Total Variation regularization model was proposed by Rudin, Osher and Fatemi in 1992 to remove noise in images. The model has two fundamental properties: one is that it is able to preserve the edges of the image, and it does so well under ce...

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

The invention discloses a tone mapping method based on an edge-preserving total variation model, which comprises the following steps of: inputting a high dynamic image; performing light intensity reconstruction on the input high dynamic image; obtaining a logarithm value of a reconstructed light intensity value; using an edge-preserving total variation filter to filter the obtained light intensity logarithm value to obtain a basic layer of the image; subtracting the basic layer of the image by the light intensity logarithm value to obtain a detail layer of the image; calculating a compression scaling factor and the output light intensity of the image; dividing the input light intensity of the image by the compressed light intensity to obtain a new scaling factor M; acting the scaling factor M respectively on each channel of a red channel, a green channel and a blue channel to obtain the image with compressed colors; and performing gamma calibration on the obtained image with the compressed colors to obtain a low dynamic image. The tone mapping method based on the edge-preserving total variation model can obtain the low dynamic image with very high quality, and does not produce halos.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a tone mapping method based on an edge-preserving full-partition model. Background technique [0002] High Dynamic Range Image (HDR Image) can support a very large light intensity range, can effectively store light intensity information in the real world, and present super high-quality images to people. However, conventional display devices and printers cannot display these high dynamic images. Because the contrast they can display is much smaller than that of high dynamic images. In order to solve this problem, it is currently possible to compress the dynamic range of high dynamic images to adapt to low dynamic image display devices. The method of converting a high dynamic image into a low dynamic image (LowDynamic Range Image, LDR Image) like this is the tone mapping method. [0003] Now, a large number of tone mapping methods have been proposed. The simplest contr...

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
IPC IPC(8): G06T9/00G06T11/00
Inventor 周凡吴雪莲李健红
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap