Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
563094 | Signal Processing | 2009 | 6 Pages |
Abstract
Quantifying visually annoying blocking artifacts is essential for image and video quality assessment. This paper presents a no-reference technique that uses the multi neural channels aspect of human visual system (HVS) to quantify visual impairment by altering the outputs of these sensory channels independently using statistical “standard score” formula in the Fourier domain. It also uses the bit patterns of the least significant bits (LSB) to extract blocking artifacts. Simulation results show that the blocking artifact extracted using this approach follows subjective visual interpretation of blocking artifacts. This paper also presents a visually significant blocking artifact metric (VSBAM) along with some experimental results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Signal Processing
Authors
Shan Suthaharan,