PREDICTION OF CHROMATIC VISUAL MASKING WITH DEEP LEARNING

被引：0

作者：

Chetouani, Aladine ^{[1
]}

Pedersen, Marius ^{[2
]}

Moan, Steven Le ^{[3
]}

机构：

[1] Univ Orleans, PRISME Lab, Orleans, France

[2] Norwegian Univ Sci & Technol, Dept Comp Sci, Trondheim, Norway

[3] Massey Univ, Dept Mech & Elect Engn, Palmerston North, New Zealand

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2020年

关键词：

Visual Masking; Image Quality; Deep Learning;

D O I：

暂无

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

Visual masking is a well-studied phenomenon that has been exploited for signal compression, computer graphics and data hiding. Among the different types of visual masking, chromatic masking has received very little attention despite its importance and proven potential for the aforementioned applications. In this paper, we ask whether a deep neural network can learn to predict the detection thresholds in a chromatic masking paradigm. For that, a CNN model was trained and evaluated using a dataset made of 480 image patches for which chromatic thresholds were registered in terms of log-Gabor targets, as well as Root Mean Square (RMS) error. Experimental results show the superiority of the proposed approach.

引用

页码：146 / 150

页数：5

共 23 条

[1] No-reference mesh visual quality assessment via ensemble of convolutional neural networks and compact multi-linear pooling
Abouelaziz, Ilyass
Chetouani, Aladine
El Hassouni, Mohammed
Latecki, Longin Jan
Cherifi, Hocine
[J]. PATTERN RECOGNITION, 2020, 100
[2] Local masking in natural images: A database and analysis
Alam, Md Mushfiqul
Vilankar, Kedarnath P.
Field, David J.
Chandler, Damon M.
[J]. JOURNAL OF VISION, 2014, 14 (08):
[3] [Anonymous], 2017, COMMUN ACM, DOI DOI 10.1145/3065386
[4] Effects of natural images on the detectability of simple and compound wavelet subband quantization distortions
Chandler, DM
Hemami, SS
[J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2003, 20 (07) : 1164 - 1180
[5] Chetouani A, 2019, INT WORK QUAL MULTIM
[6] Video quality assessment accounting for temporal visual masking of local flicker
Choi, Lark Kwon
Bovik, Alan Conrad
[J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2018, 67 : 182 - 198
[7] DALY S, 1992, P SOC PHOTO-OPT INS, V1666, P2, DOI 10.1117/12.135952
[8] He K., 2016, PROC IEEE COMPUT SOC, P1026, DOI [10.1109/cvpr.2016.90., DOI 10.1109/CVPR.2016.90]
[9] Detection of chromatic and luminance distortions in natural scenes
Jennings, Ben J.
Wang, Karen
Menzies, Samantha
Kingdom, Frederick A. A.
[J]. JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2015, 32 (09) : 1613 - 1622
[10] Johnson GM, 2001, NINTH COLOR IMAGING CONFERENCE: COLOR SCIENCE AND ENGINEERING SYSTEMS, TECHNOLOGIES, APPLICATIONS, P108

← 1 2 3 →