Blind image quality evaluation using perception based features

N, Venkatanath and D, Praneeth and Bh, Maruthi Chandrasekhar and Channappayya, Sumohana and Medasani, S S (2015) Blind image quality evaluation using perception based features. In: 21st National Conference on Communications, 27 February 2015 - 1 March 2015, IIT Bombay Mumbai; India.

1527_raiith_07084843.pdf - Published Version

Download (815kB) | Preview


This paper proposes a novel no-reference Perception-based Image Quality Evaluator (PIQUE) for real-world imagery. A majority of the existing methods for blind image quality assessment rely on opinion-based supervised learning for quality score prediction. Unlike these methods, we propose an opinion unaware methodology that attempts to quantify distortion without the need for any training data. Our method relies on extracting local features for predicting quality. Additionally, to mimic human behavior, we estimate quality only from perceptually significant spatial regions. Further, the choice of our features enables us to generate a fine-grained block level distortion map. Our algorithm is competitive with the state-of-the-art based on evaluation over several popular datasets including LIVE IQA, TID & CSIQ. Finally, our algorithm has low computational complexity despite working at the block-level.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Channappayya, SumohanaUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Behavioral research; Image quality Image quality assessment; Image quality evaluation; Low computational complexity; No-reference image quality assessments; Perception-based; Perceptual quality; Spatial activity; State of the art
Subjects: Others > Electricity
Divisions: Department of Electrical Engineering
Depositing User: Team Library
Date Deposited: 25 May 2015 08:53
Last Modified: 01 Sep 2017 06:19
Publisher URL:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 1527 Statistics for this ePrint Item