dct based image compression for low bit rate video processing and band limited communication
The field of image compression is concerned with removing the spatial and temporal redundancies present in an image sequence to more efficiently and concisely store and transmit the information. Traditional methods rely on waveforms or transform coding to reduce the spatial correlation and block based motion compensation to reduce the temporal correlation in an image sequence. To achieve the significant reduction in bandwidth needed for the next generation technology, more sophisticated models utilizing the structure inherent in an image sequence are required. In order to be used effectively however, video is often compressed for storage and transfer, and then decompressed for use. Generally these types of work face additional challenges of meeting two inherently conflicting requirements; reducing the transmission bit-rate at the same time increasing the image quality. This paper explores the details of implementing a very low bit rate video coding system (JPEG based architecture) with scalable bit rate vs. video quality for video-telephony, video-conferencing, and video streaming to mobile phones for a limited bandwidth application.
image compression low bit rate video coding block matching technique jpeg technique video transmission