Visually Optimized Multiple Description Image Coding Conference Paper

abstract

• We consider the problem of constructing visually optimized balanced multiple descriptions of images, instead of being optimized with the conventional measure of mean squared error (MSE). The recently proposed Modified Multiple Description Scalar Quantizer (MMDSQ) is used because its central and side quantizers all have convex and uniform cells. Since the majority of research results on the visual distortion caused by quantization noise assumes convex and uniform quantizer cells, they can be conveniently applied to the system based on MMDSQ. The technique provides substantially higher side reconstruction perceived quality when compared at the same central reconstruction quality, which is verified through perceptual tests. 2006 IEEE.

name of conference

• 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings

authors

• Tian, Chao

published proceedings

• 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings

author list (cited authors)

• Tian, C., & Hemami, S. S.

citation count

• 2

complete list of authors

• Tian, Chao||Hemami, Sheila S

publication date

• January 2006

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference)  Journal

Digital Object Identifier (DOI)

• 10.1109/icassp.2006.1660264

International Standard Book Number (ISBN) 10

• 142440469X

International Standard Book Number (ISBN) 13

• 9781424404698

start page

• 1

end page

• 4

volume

• 2

URL

• http://dx.doi.org/10.1109/icassp.2006.1660264