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|Title: ||Image compression scheme using improved basic-lavq and optimized VLC|
|Authors: ||Al-Asmari, Awad Kh|
Ahmed, Abobakr S.
Al-Doweesh, Abdulla A.
|Keywords: ||Image Compression|
|Issue Date: ||1996 |
|Publisher: ||King Saud University|
|Citation: ||Journal of king Saud University, Engineering Science: 8 (2); 251-266|
|Abstract: ||In this paper, a predictive locally adaptive vector quantization (PLA VQ) for real-time image compression is developed and simulated. It is a hybrid of improved predictor, LA VQ and (VLC). The lat-ter is a combination of Laplacian quantizer, Huffman coding, and optimum-modified Bl-code for encod-ing the codewords and indices, respectively. Simulation shows that an improvement in speed of about 76% can be achieved with about 1.1 dB increase in the peak signal-to-noise ratio (PSNR) at the same bit rate. Optimization of the modified B I-code decreases the bit rate with an average of 37% for the same image quality. Simulation data of PSNR and bit rate vs. error threshold can be expressed by a decaying exponen-tial model independent of image type.|
|Appears in Collections:||Journal of the King Saud University - Engineering Sciences|
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