IEEE Trans Image Process - Progressive significance map and its application to error-resilient image transmission.

Tópicos

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Resumo

Set partition coding (SPC) has shown tremendous success in image compression. Despite its popularity, the lack of error resilience remains a significant challenge to the transmission of images in error-prone environments. In this paper, we propose a novel data representation called the progressive significance map (prog-sig-map) for error-resilient SPC. It structures the significance map (sig-map) into two parts: a high-level summation sig-map and a low-level complementary sig-map (comp-sig-map). Such a structured representation of the sig-map allows us to improve its error-resilient property at the price of only a slight sacrifice in compression efficiency. For example, we have found that a fixed-length coding of the comp-sig-map in the prog-sig-map renders 64% of the coded bitstream insensitive to bit errors, compared with 40% with that of the conventional sig-map. Simulation results have shown that the prog-sig-map can achieve highly competitive rate-distortion performance for binary symmetric channels while maintaining low computational complexity. Moreover, we note that prog-sig-map is complementary to existing independent packetization and channel-coding-based error-resilient approaches and readily lends itself to other source coding applications such as distributed video coding.

Resumo Limpo

set partit code spc shown tremend success imag compress despit popular lack error resili remain signific challeng transmiss imag errorpron environ paper propos novel data represent call progress signific map progsigmap errorresili spc structur signific map sigmap two part highlevel summat sigmap lowlevel complementari sigmap compsigmap structur represent sigmap allow us improv errorresili properti price slight sacrific compress effici exampl found fixedlength code compsigmap progsigmap render code bitstream insensit bit error compar convent sigmap simul result shown progsigmap can achiev high competit ratedistort perform binari symmetr channel maintain low comput complex moreov note progsigmap complementari exist independ packet channelcodingbas errorresili approach readili lend sourc code applic distribut video code

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