원문정보
초록
영어
Optimizing the utilization factor of the system resources such as efficiency, bandwidth, and the storage capacity for cost reduction is one important aim of enormous amount of studies. For the image compression one can use the embedded processors as the most suitable ones. This image compression schemes for images will be based on the Discrete Cosine Transform (DCT). This paper implements an efficient and effective algorithm for still image compression of relatively high signal to noise ratio. The implemented technique considers that only zeros of the zigzag scanning is the repeated runs. This results in possibility of zero byte of the Run Length Encoding (RLE) output elimination. Word-length reduction and higher compression ratio can be customized.
목차
1. Introduction
2. Image Compression Techniques
2.1 Lossless Compression
2.2 Near Lossless Compression
2.3 Lossy Compression
3. DCT based JPEG Standard
4. Performance Parameters of Image Compression
4.1 Error Metrics
4.2 Compression Metrics
5. Run Length Encoding (RLE)
5.1 Analysis of Traditional RLE
5.2 Proposed RLE 1
5.3 Proposed RLE 2
6. Analysis of Experimental Results
7. Conclusion
References