Journal of Algorithms & Computational Technology (Sep 2012)
Lossless Compression of Colour Mosaic Video Frames Suitable for Progressive Transmission
Abstract
Video transmission is a vital area in the era of communication. Video are of huge in size comparing to textual data, video transmission takes larger bandwidth of the communication channel. Since channel capacity is limited, the video transmission takes longer time. Thus video compression becomes an essential solution. Considering these factors this paper propose a way by which video is converted as a series of mosaic images and compressed for transmission. The entire process can be given in nutshell with few steps. Initially the RGB color video frames are converted into mosaic images according to Bayer Pattern. The mosaic image is one third of the size of RGB color image. Then the mosaic image is transformed to reduce the bits required to store the data. Two transformations are applied to this mosaic image. Firstly the difference between the color components of same color is computed. Since the same color components are interleaved slightly modified DPCM is used in this transformation. Secondly the inter-frame difference is computed. Finally the transformed mosaic image is compressed using Golomb Rice Code which is suitable for progressive transmission.