Lossless video coding is required in the fields of archiving and editing digital cinema or digital broadcasting contents. This paper combines a discrete wavelet transform and adaptive inter/intra-frame prediction in the wavelet transform domain to create multiresolution lossless video coding. Based on the image statistics of the wavelet transform domains in successive frames, inter/intra frame adaptive prediction is applied to the appropriate wavelet transform domain. This adaptation offers superior compression performance. A progressive transmission scheme is also proposed for effective resolution scalability. Experiments on test sequences confirm the effectiveness of the proposed algorithm.

We present a novel mesh representation scheme exploiting the characteristics of triangle strips, called progressives strips, which gives rendering-efficient triangulation data at the rendering stage in a graphics system such as progressive transmission where the mesh topology changes continuously. Progressive strips consist of a set of triangle strips simplified to the base mesh and a set of refinement steps required to recover incrementally the original mesh at full resolution. We also propose an improved triangle strip filtering algorithm and the encoding of strip-edge collapses in order to reduce efficiently the redundant triangles and the amount of refinement information, both of which may increase as the mesh degrades. Our approach increases the overall graphics performance by reducing the amount of data sent to the graphics pipeline.

In this paper, we propose a function that provides scalability of image quality on the basis of regions of interest for JPEG2000 coding. Functions of this type are useful in the progressive transmission of images, where the aim is to more quickly decode regions of interest than backgrounds. The conventional methods of progressive transmission have mainly been based on SNR scalability or on resolution scalability. With these conventional functions, it is impossible to achieve region-based scalability in the progressive transmission of images. The proposed methods use the ROI and SNR layer structures of JPEG2000, so the methods are suitable for the region-progressive transmission of JPEG2000 images.

We propose a new method of progressive transmission of continuous tone images using multi-level error diffusion method. Assuming that the pixels are ordered and the error is diffused to later pixels, multi-level error-diffused images are resolved into a multiple number of bit planes. In an image with 8 bits per pixel, the number of the bit planes that we construct is 9, and the 2-level, 3-level, 5-level,, error-diffused images are produced by a successive use of the bit planes. The original image is finally achieved precisely.