Research Article
Image Compression over Low Channel Bandwidth
@INPROCEEDINGS{10.1007/978-3-642-27317-9_27, author={s. Anitha and Nagabhushana}, title={Image Compression over Low Channel Bandwidth}, proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III}, proceedings_a={CCSIT PART III}, year={2012}, month={11}, keywords={Image compression lossy lossless encoder CD ROM VHS DC CR}, doi={10.1007/978-3-642-27317-9_27} }- s. Anitha
Nagabhushana
Year: 2012
Image Compression over Low Channel Bandwidth
CCSIT PART III
Springer
DOI: 10.1007/978-3-642-27317-9_27
Abstract
In recent years, there have been significant advancements in the field of signal processing where various innovative algorithms and architectures are used for the processing of image, video, and audio signals. These advancements have proceeded along several directions. On the algorithmic front, new techniques have led to the development of robust methods to reduce the size of the image, video, or audio data. Such methods are extremely vital in many applications that manipulate and store digital data. Informally, we refer to the process of size reduction as a compression process. On the architecture front, it is now feasible to put sophisticated compression processes on a relatively low-cost single chip; this has spurred a great deal of activity in developing multimedia systems for the large consumer market. One of the exciting prospects of such advancements is that multimedia information comprising image, video, and audio has the potential to become just another data type. This usually implies that multimedia information will be digitally encoded so that it can be manipulated, stored, and transmitted along with other digital data types. For such data usage to be pervasive, it is essential that the data encoding is standard across different platforms and applications. This will foster widespread development of applications and will also promote interoperability among systems from different vendors.
