JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
A Fast and Low Complexity Image Codec based on Backward Coding of Wavelet Trees
DCC '06 Proceedings of the Data Compression Conference
Memory-Efficient Image Codec Using Line-based Backward Coding of Wavelet Trees
DCC '07 Proceedings of the 2007 Data Compression Conference
Line-based, reduced memory, wavelet image compression
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
An online segmentation tool for cervicographic image analysis
Proceedings of the 1st ACM International Health Informatics Symposium
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Viewing high quality regions of interest (ROI) from compressed bit streams of high resolution images is a desirable but extremely challenging goal. Current image formats used for such viewing commonly use tile based compression and suffer from tile-boundary artifacts. They also have a larger memory requirement because they maintain redundant scaled-down versions of the original image to provide progressive-of-resolution capabilities. We present here a novel codec based on line-based backward coding of wavelet trees (L-BCWT) that has been specifically designed to address these difficulties. With L-BCWT, only a fraction of the compressed image data is in memory at any given time while providing ROI and progressive-of-resolution capabilities. The performance of LBCWT is demonstrated with histology images on the order of billions of pixels or multi-gigabytes of raw data.