期刊论文详细信息
International Journal of Image Processing | |
Performance Improvement of Vector Quantization with Bit-parallelism Hardware | |
Pi-Chung Wang1  | |
[1] $$ | |
关键词: Image Compression; Vector Quantization; Nearest Neighbor Search; Look-up Tables; | |
DOI : | |
来源: Computer Science Journals | |
【 摘 要 】
Vector quantization is an elementary technique for image compression; however, searching for the nearest codeword in a codebook is time-consuming. In this work, we propose a hardware-based scheme by adopting bit-parallelism to prune unnecessary codewords. The new scheme uses a “Bit-mapped Look-up Table” to represent the positional information of the codewords. The lookup procedure can simply refer to the bitmaps to find the candidate codewords. Our simulation results further confirm the effectiveness of the proposed scheme.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
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RO201912040511089ZK.pdf | 485KB | download |