Showing papers on "Run-length encoding published in 2003"

Interactive transfer function modification for volume rendering using compressed sample runs

Abstract: We describe a software-based method for interactive transfer function modification. Our approach exploits the fact that, in general, a user will rarely want to modify the viewpoint and the transfer functions at the same time. In that spirit, we optimize the latter by first fixing the viewpoint and then storing a compressed list of samples along each ray. Then, each time the transfer function is modified, the algorithm traverses the compressed sample lists, decompressing the runs and compositing the newly colored samples along each ray until full opacity is reached. Since the expensive sample interpolation and shading is no longer necessary, we can obtain near-interactive framerates for a variety of datasets, while our RLE-based compression of linearly varying sample runs helps keep the storage complexity down, with little decompression overhead. Decompression cost is reduced by storing decompression results in an on-the-fly constructed 2D table.

The Methods of Coding in Image Compression

Abstract: First,several typical ways of image coding are explained in the paper,including Run Length Encoding,Huffman Coding,LZW and DCT.Then some new generation techniques based on fractal coding,wavelet coding and artificial neural network coding are presented.

Compressing Bitmap with RLE (Run-Length Encoding)

Abstract: Video compression is a important part in image manipulation. Firstly, the article gives a brief introduction to several kinds of video compression which are in common use.Then,on the basis of the file format of BMP image,the article gives a video compressing program, which uses runlength encoding (RLE) and C language and discusses the compressing effect. Finally, the article discusses the characteristics of RLE and gives several reasonable methods of improving its compressing effect.

Run length encoding of a quantized digital image

Abstract: Methods, apparatus and computer readable medium are described that compress and/or decompress digital images in a lossless or a lossy manner. In some embodiments, a display controller may quantize pels of a digital image and may identify runs of successive quantized pels which are equal. The display controller may generate a symbol to represent an identified run of pels. The symbol may comprise a run length and a quantized pel that may be used to reconstruct the run of pels. The symbol may further comprise an error vector for each of the pels of the run that may be used to further reconstruct the run of pels.