Title :
A perceptual distortion measure for video quality assessment using wavelet and statistical measures
Author :
Shadiya, P. ; Balachandran, K.P.
Author_Institution :
Dept. of Electron. & Commun. Eng., M.E.S. Coll. of Eng., Kuttippuram, India
Abstract :
Video Quality measurements are highly desirable for the performance evaluation of videos in wireless communications. In literature there are various Video Quality Assessment (VQA) algorithms, which have been developed with varying computational complexities and accuracy. This paper introducing a Full Reference (FR) VQA algorithm named as Perceptual Distortion Measure (PDM), is implemented using wavelet and statistical measures. PDM can track perceptual quality better with comparable high accuracy and low complexity. This FR algorithm is implemented using MATLAB. To check the performance of this FR algorithm, JM reference software is used for encoding the uncompressed reference videos at different Quantization Parameter (QP) values to yield compressed distorted videos at different bit rates.
Keywords :
statistical analysis; video signal processing; wavelet transforms; MATLAB; PDM; full reference VQA algorithm; perceptual distortion measure; performance evaluation; quantization parameter values; statistical measures; video quality assessment algorithms; wavelet measures; Distortion measurement; Feature extraction; PSNR; Quality assessment; Streaming media; Video recording; Full Reference (FR); Quantization Parameter (QP); Video Quality Assessment (VQA);
Conference_Titel :
Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015 IEEE International Conference on
Conference_Location :
Kozhikode
DOI :
10.1109/SPICES.2015.7091376
