JICCE (한국정보통신학회)
Current Result Document :
| 한글제목(Korean Title) |
Visible Distortion Predictors Based on Visual Attention in color Images |
| 영문제목(English Title) |
Visible Distortion Predictors Based on Visual Attention in color Images |
| 저자(Author) |
Sang-Gyu Cho
Jae-Jeong Hwang
Nae-Joung Kwak
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| 원문수록처(Citation) |
VOL 10 NO. 03 PP. 0300 ~ 0306 (2012. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
An image attention model and its application to image quality assessment are discussed in this paper. The attention model is based on rarity quantification, which is related to self-information to attract the attention in an image. It is relatively simpler than the others but results in taking more consideration of global contrasts between a pixel and the whole image. The visual attention model is used to develop a local distortion predictor, named color visual differences predictor (CVDP), in color images in order to effectively detect luminance and color distortions. |
| 키워드(Keyword) |
Visual attention
CVDP
Visible distortion
Human visual system
Cortex transform
Inverse contrast
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| 파일첨부 |
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