Preprocessing of compressed digital video Preprocessing algorithms improve on the performance of a video compression system by removing spurious noise and insignificant features from the original images. This increases compression efficiency and attenuates coding artifacts. Unfortunately, determining the appropriate amount of prefiltering is a difficult problem, as it depends on both the content of an image as well as the target bitrate of compression algorithm. In this paper, we explore a pre processing technique that is loosely coupled to the quantization decisions of a rate control mechanism. This technique results in a preprocessing system that operates directly on the Displaced Frame Difference (DFD) and is applicable to any standardcompatible compression system. Results explore the effect of several standard filters on the DFD. An adaptive technique is then considered.xc2xa9 (2000) COPYRIGHT SPIEThe International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

Evaluation of a combined preprocessing and H.264compression scheme for 3D integral images To provide sufficient 3Ddepth fidelity, integral imaging (II) requires an increase in spatial resolution of several orders of magnitude from todayu0027s 2D images. We have recently proposed a preprocessing and compression scheme for still IIframes based on forming a pseudo video sequence (PVS) from sub images (SI), which is later coded using the H.264MPEG4 AVC video coding standard. The scheme has shown good performance on a set of reference images. In this paper we first investigate and present how five different ways to select the SIs when forming the PVS affect the schemes compression efficiency. We also study how the IIframe structure relates to the performance of a PVS coding scheme. Finally we examine the nature of the coding artifacts which are specific to the evaluated PVSschemes. We can conclude that for all except the most complex reference image, all evaluated SI selection orders significantly outperforms JPEG 2000 where compression ratios of up to 342:1, while still keeping PSNR u003e 30 dB, is achieved. We can also confirm that when selecting PVSscheme, the scheme which results in a higher PVSpicture resolution should be preferred to maximize compression efficiency. Our study of the coded IIframes also indicates that the SIbased PVS, contrary to other PVS schemes, tends to distribute its coding artifacts more homogenously over all 3Dscene depths.