Blind reference tone mapping image quality evaluation method

An image quality evaluation and tone mapping technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of neglecting color distortion, incomplete method consideration, subjective consistency to be improved, etc., to achieve low complexity and high Effectiveness, good evaluation of the effect of the effect

Active Publication Date: 2018-05-08
NINGBO UNIV
View PDF3 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the direct use of traditional blind reference methods cannot accurately measure the degree of image distortion.
Based on this, Gu et al. proposed the BTMQI algorithm from three aspects of the information content, naturalness and structure of the tone-mapped image. This method defines the characteristics that the tone-mapped image should have based on the characteristics of the high dynamic range image. Nice effect, but it ignores color distortion
[0006] Based on the above analysis, the blind reference tone mapping image quality evaluation method has more research value, but the existing methods are too few and incomplete, and their subjective consistency needs to be improved

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
  • Blind reference tone mapping image quality evaluation method
  • Blind reference tone mapping image quality evaluation method
  • Blind reference tone mapping image quality evaluation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] A blind reference tone mapping image quality evaluation method, comprising the following steps:

[0040] (1), order I TM Indicates the tone-mapped image to be evaluated, whose width is W and height is H; let L TM means I TM The luminance component map, the total number of pixels is N=W×H;

[0041] (2), the L TM Arrange the pixel values ​​in descending order to obtain a column vector P with a dimension of N×1, and take the Mth of the vector P B A value is used as the threshold of the highlighted area, denoted as T B ; Take the Mth of the vector P D A value is used as the threshold of the low-brightness area, denoted as T D ,M B and M D 3 values ​​are taken, Therefore, T B and T D Also have 3 values, T B =[T B1 ,T B2 , T B3 ],T D =[T D1 ,T D2 ,T D3 ];

[0042] (3), the L TM Medium is greater than T B Set the pixel value of the area of ​​the image to 1, and set the pixel value of other areas to 0 to obtain the binary image of the highlighted area of ...

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 blind reference tone mapping image objective quality evaluation method. According to the method, first, a high-brightness region and a low-brightness region of a tone mappingimage are extracted, and a detail information amount of the local regions and a detail information amount of a global region are combined to measure detail information distortion caused by tone mapping; second, natural scene statistical characteristics of a brightness channel and a yellow channel of the tone mapping image are used to measure naturalness distortion of the brightness and color of the image respectively; third, brightness and color characteristics of the tone mapping image are extracted from the aesthetic perspective; and last, a random forest is used to perform regression on all the characteristics, and image quality is predicted. Therefore, objective quality evaluation of the tone mapping image for blind reference is realized, the evaluation effect is obviously improved, and the image has better consistency with human eye visual perception.

Description

technical field [0001] The invention relates to the technical field of image quality evaluation, in particular to a blind reference tone mapping image quality evaluation method. Background technique [0002] Generally speaking, the dynamic range of luminance that the human visual system can accept in the same scene can reach 6 orders of magnitude, while the dynamic range that can be represented by traditional low dynamic range images does not exceed 3 orders of magnitude, which cannot present the natural scene to the human eye. Realistic feelings, for which people have pushed the development of high dynamic range images. High dynamic range images have a wider dynamic range than low dynamic range images, and their levels of expression are richer. The details of high-brightness areas and low-brightness areas in the scene can be well preserved, but dedicated high dynamic range display devices The development process is complicated, the cost is high, and it is difficult to popu...

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): G06T7/00G06T7/90
CPCG06T7/0002G06T2207/10024G06T2207/30168G06T7/90
Inventor 蒋刚毅宋昊郁梅彭宗举陈芬
Owner NINGBO 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