View Compensated Compression of Volume Rendered Images for Remote Visualization

Abstract

Remote visualization of volumetric images has gained importance over the past few years in medical and industrial applications. Volume visualization is a computationally intensive process, often requiring hardware acceleration to achieve a real time viewing experience. One remote visualization model that can accomplish this would transmit rendered images from a server, based on viewpoint requests from a client. For constrained server-client bandwidth, an efficient compression scheme is vital for transmitting high quality rendered images. In this paper, we present a new view compensation scheme that utilizes the geometric relationship between viewpoints to exploit the correlation between successive rendered images. The proposed method obviates motion estimation between rendered images, enabling significant reduction to the complexity of a compressor. Additionally, the view compensation scheme, in conjunction with JPEG2000 performs better than AVC, the state of the art video compression standard.

Temporal Redundancy Reduction in Wavelet Based Video Compression for High Definition Videos

“…At low bit-rates and high compression, wavelet transform-based methods show better visual quality for reconstructed image and video, compared to those from block transforms. Wavelet-based schemes that handle motion discontinuities because of intrinsic properties of the setup have shown to have improved performance [13][14]. For generic video data, a more general way of handling motion discontinuities is required.…”