Progressive Transmission of Images Over Fading Channels Using Rate-Compatible LDPC Codes

Abstract

In this paper, we propose a combined source/channel coding scheme for transmission of images over fading channels. The proposed scheme employs rate-compatible low-density parity-check codes along with embedded image coders such as JPEG2000 and set partitioning in hierarchical trees (SPIHT). The assignment of channel coding rates to source packets is performed by a fast trellis-based algorithm. We examine the performance of the proposed scheme over correlated and uncorrelated Rayleigh flat-fading channels with and without side information. Simulation results for the expected peak signal-to-noise ratio of reconstructed images, which are within 1 dB of the capacity upper bound over a wide range of channel signal-to-noise ratios, show considerable improvement compared to existing results under similar conditions. We also study the sensitivity of the proposed scheme in the presence of channel estimation error at the transmitter and demonstrate that under most conditions our scheme is more robust compared to existing schemes.

Joint Source-Channel Coding of JPEG 2000 Image Transmission Over Two-Way Multi-Relay Networks

“…The joint source-channel coding (JSCC) for JPEG 2000 image transmission has been studied extensively [16]- [35]. In [16], a combined source and channel coding method is proposed to provide robust transmission of JPEG 2000 codestream over binary symmetric channels (BSC).…”

“…The UEP method adopts a dichotomic technique for searching the optimal UEP strategy, and a virtual interleaving scheme is employed to reduce the effects of burst errors. In [35], a JSCC method for JPEG 2000 transmission over fading channels is proposed, and rate-compatible low-density parity-check (RCPC) code is employed with embedded codestream.…”

Progressive sparse image sensing using Iterative Methods

“…The various progressive transmission schemes proposed in the literature are based on Shannon-Nyquist sampling theory [1][2][3][4] and there are very few works which investigate the progressive transmission schemes for sparse signals. Progressive quantization of compressive sensing [5][6][7] measurements is suggested in [8].…”

An Adaptive Source-Channel Coding with Feedback for Progressive Transmission of Medical Images

“…The main idea in [15] is to segment the bitstream into consecutive subblocks of variable lengths and consider a tradeoff between the levels of source and channel coding systems. The authors in [16] proposed a JSCC method for transmission of images over fading channels and demonstrated the application of rate-compatible low-density parity-check (RC-LDPC) codes constructed by the progressive edge-growth algorithm, and used the UEP to protect the images. In [17], a parametric methodology in progressive source-channel coding for rate allocation has been developed.…”