Gridding and Compression of Microarray Images
CSB '04 Proceedings of the 2004 IEEE Computational Systems Bioinformatics Conference
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Many bitmap documents are composed by the superposition of layers withpictures and text. These documents do not compress well using image compressionalgorithms such as JPEG-2000, because text introduces sharp edgeson top of the smooth surfaces typically found in natural images. Similarly,compression algorithms for text facsimiles, such as JBIG2, are not suited forcolor or gray level images. We propose the SLIm system for separating textand line drawing from background images, in order to compress both moreeffectively. This approach differ from previous ones such as DjVu, Tiff-FX,and MRC, by being extremely simple and fast, while yielding close to state-of-the-art compression performance. We present results that show that theSLIm compression performance is attractive for many applications.