Title :
Perceptual Visual Signal Compression and Transmission
Author :
Hong Ren Wu ; Reibman, Amy R. ; Weisi Lin ; Pereira, Fernando ; Hemami, S.S.
Author_Institution :
Sch. of Electr. & Comput. Eng., R. Melbourne Inst. of Technol. (RMIT), Melbourne, VIC, Australia
Abstract :
One- and two-way communication with digital compressed visual signals is now an integral part of the daily life of millions. Such commonplace use has been realized by decades of advances in visual signal compression. The design of effective, efficient compression and transmission strategies for visual signals may benefit from proper incorporation of human visual system (HVS) characteristics. This paper overviews psychophysics and engineering associated with the communication of visual signals. It presents a short history of advances in perceptual visual signal compression, and describes perceptual models and how they are embedded into systems for compression and transmission, both with and without current compression standards.
Keywords :
data compression; video coding; HVS characteristics; digital compressed visual signals; engineering; human visual system characteristics; one-way communication; perceptual visual signal compression; psychophysics; transmission strategies; two-way communication; Channel coding; Digital signal processing; Digital systems; Image coding; Image color analysis; Predictive models; Visualization; Digital picture coding; Human visual system (HVS) modeling; perceptual video transmission; rate-perceptual-distortion (RpD) optimization; visual communications;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2013.2262911
