Joint source-channel coding of JPEG2000 image transmission over coded cooperative networks

Bi, Chongyuan; Liang, Jie; Wu, Di

doi:10.1109/chinasip.2014.6889247

Cited by 1 publication

(1 citation statement)

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“…in a block, and used this UEP strategy to JPEG 2000 image transmission to achieve better quality. In [6], a low complexity UEP scheme is designed to jointly allocate bits among source coding, channel coding and cooperation to minimize the reconstructed distortion of JPEG 2000 image transmission at the receiver. The authors of [7] introduce a technique that utilizes the channel polarization property of polar codes to achieve UEP without any significant modification within the context of JPEG 2000.…”

Section: Introductionmentioning

confidence: 99%

Efficient Multiple Concatenated Codes With Turbo-Like Decoding for UEP Wireless Transmission of Scalable JPEG 2000 Images

et al. 2019

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Most multimedia source encoders produce scalable bit streams that are vulnerable to noisy channel effects. Unequal error protection (UEP) designs are attractive solutions for such scalable bit streams. In the other hand, the structure of multiple concatenated codes, which consist of the combination of two or more elementary encoders and interleavers, offers a flexible implementation of unequal data protection. To provide an efficient protection for embedded source bit streams, an adaptive concatenated coding/decoding design is proposed in this paper inspired by serially concatenated turbo codes. This scheme involves iterative decoding of concatenated codes for JPEG 2000 image transmission. In the case of time varying channels, the concatenated coding rates are adaptively chosen to maximize the visual quality. The simulation results show that the proposed scheme achieves better image quality improvements at the receiver side compared with a conventional multiple turbo codes-based design, with significant peak-signal-to-noise ratio gains. INDEX TERMS Scalable bit streams, unequal error protection (UEP), multiple concatenated codes, iterative decoding, JPEG 2000. Recently, [5] proposed a turbo code that provides descending protection capabilities for the data according to their locations

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Section: Introductionmentioning

confidence: 99%