Paper
1 September 1990 Compression and channel-coding algorithms for high-definition television signals
Luciano Alparone, Giuliano Benelli, A. F. Fabbri
Author Affiliations +
Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24264
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland
Abstract
In this paper results of investigations about the effects of channel errors in the transmission of images compressed by means of techniques based on Discrete Cosine Transform (DCT) and Vector Quantization (VQ) are presented. Since compressed images are heavily degraded by noise in the transmission channel, more seriously for what concern VQ-coded images, theoretical studies and simulations are presented in order to define and evaluate this degradation. Some channel coding schemes are proposed in order to protect information during transmission. Hamming codes (7,4), (15,11) and (31,26) have been used for DCT-compressed images; more powerful codes, such as Golay (23,12), for VQ-compressed images. Performances attainable with soft- decoding techniques are also evaluated; better quality images have been obtained than using classical hard decoding techniques. All tests have been carried out to simulate the transmission of a digital image from HDTV signal over an AWGN channel with PSK modulation.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luciano Alparone, Giuliano Benelli, and A. F. Fabbri "Compression and channel-coding algorithms for high-definition television signals", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24264
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image compression

Signal to noise ratio

Forward error correction

Quantization

Image processing

Visual communications

Distortion

Back to Top