In order to utilize digital images effectively, specific techniques are needed to reduce the number of bits required for their representation. This Tutorial Text provides the groundwork for understanding these image compression tecniques and presents a number of different schemes that have proven useful. The algorithms discussed in this book are concerned mainly with the compression of still-frame, continuous-tone, monochrome and color images, but some of the techniques, such as arithmetic coding, have found widespread use in the compression of bilevel images. Both lossless (bit-preserving) and lossy techniques are considered. A detailed description of the compression algorithm proposed as the world standard (the JPEG baseline algorithm) is provided. The book contains approximately 30 pages of reconstructed and error images illustrating the effect of each compression technique on a consistent image set, thus allowing for a direct comparison of bit rates and reconstucted image quality. For each algorithm, issues such as quality vs. bit rate, implementation complexity, and susceptibility to channel errors are considered.By far, the most common approach to predictive coding is differential pulse code modulation (DPCM). In DPCM, the prediction is subtracted from the actual pixel value to form a differential image that is much less correlated than the originalanbsp;...
|Title||:||Digital Image Compression Techniques|
|Author||:||Majid Rabbani, Paul W. Jones|
|Publisher||:||SPIE Press - 1991-01-01|