Premium
P‐37: Just Noticeable Difference of Image Attributes for Natural Images
Author(s) -
Qin Shaoling,
Ge Shu,
Yin HanChun,
Xia Jun,
Liu Lu,
Teunissen Kees,
Heynderickx Ingrid
Publication year - 2007
Publication title -
sid symposium digest of technical papers
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.351
H-Index - 44
eISSN - 2168-0159
pISSN - 0097-966X
DOI - 10.1889/1.2785297
Subject(s) - just noticeable difference , rendering (computer graphics) , mathematics , artificial intelligence , image quality , computer vision , color difference , natural (archaeology) , significant difference , image (mathematics) , computer science , statistics , geography , enhanced data rates for gsm evolution , archaeology
To model the relative importance of the image quality attributes white level, black level, color saturation and contour rendering, they need to be varied all to a perceptually equal extent. The just noticeable difference (JND) of each attribute can be used for this. These JNDs are well known for specific test patterns, but not for natural image content. In this paper, we describe several experiments to determine the relationship between the JNDs and the averaged image characteristics.