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

High dynamic range image tone mapping method based on retina adaptive model

A high dynamic range, self-adaptive model technology, used in image enhancement, image data processing, instrumentation, etc., can solve problems such as not finding, achieve fast speed, preserve image details, and reduce color cast effects

Inactive Publication Date: 2010-12-01
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF5 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0012] However, so far, no relevant literature and practical application of the above-mentioned retinal adaptive model for high dynamic range image tone mapping have been found.

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
  • High dynamic range image tone mapping method based on retina adaptive model
  • High dynamic range image tone mapping method based on retina adaptive model
  • High dynamic range image tone mapping method based on retina adaptive model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] In the embodiment, the method of the present invention is used to process a high dynamic range image as shown in 2, and the processing process is as follows:

[0043] Step 1: Input this high dynamic range image;

[0044] Step 2: Obtain the logarithmic domain brightness L(p) of each pixel p in the image according to the channel values ​​of the red channel R, green channel G, and blue channel B of the image;

[0045] Step 3: Use a bilateral filter to perform bilateral filtering on the logarithmic domain luminance L(p) of each pixel p to obtain its adaptive factor A opl (p):

[0046] A opl ( p ) = 1 k ( p ) Σ ξ ...

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 high dynamic range image tone mapping method based on a retina adaptive model, which belongs to the field of digital image processing. The method comprises the following steps: (1) inputting a high dynamic range image; (2) acquiring the logarithm domain luminance L(p) of each pixel p in the image; (3) carrying out two-sided filtering on the logarithm domain luminance L(p) of each pixel p by using a two-sided filter, thereby obtaining the adaptive factor Aopl(p); (4) obtaining the luminance Lram(p) after carrying out nonlinear mapping on the logarithm domain luminance L(p) of each pixel p; (5) obtaining a red channel value I'(pR), a green channel value I'(pG) and a blue channel value I'(pB) after respectively carrying out nonlinear mapping on each pixel p in a red channel R, a green channel G and a blue channel B; and (6) constructing a new image file by using I'(pR), I'(pG) and I'(pB), thereby realizing the tone mapping of the high dynamic range image. The method simultaneously has the advantage of high speed in the global approach and the advantage of high capability of reserving image details in the partial approach.

Description

technical field [0001] The invention relates to a high dynamic range image (HDRI-high dynamic range image) tone mapping technology, in particular to a high dynamic range image tone mapping method based on a retinal adaptive model, which belongs to the field of digital image processing. Background technique [0002] Dynamic range refers to the ratio of the maximum brightness to the minimum brightness of a pixel in an image. Traditional image formats, such as JPG, bmp, GIF, etc., use 8-bit binary integers to represent each color component, and its dynamic range is 100:1, while the dynamic range of real-world scenes can be as high as 100,000,000:1, so traditional images The format cannot realistically express scenes with high dynamic range. High dynamic range image is a new image format designed for this problem. It usually uses 16-bit or 32-bit floating-point numbers to represent each color component, so it can express a higher dynamic range. The traditional image format is a...

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): G06T5/00
Inventor 沈建冰刘衡生
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com