NDLI: Prediction Filling Differences for Compress a Set of HDR Images

Content Provider	IEEE Xplore Digital Library
Author	Chen, J. Tung-Shou Chen Ping-Feng Chen
Copyright Year	2008
Description	Author affiliation: Grad. Sch. of Comput. Sci. Inf. Technol., Nat. Taichung Inst. of Technol., Taichung (Chen, J.; Tung-Shou Chen; Ping-Feng Chen)
Abstract	Two-dimensional electrophoresis gel image is a popular method used in protein studies. The image is often affected by image brightness which might result in inaccurate diagnostics. High dynamic range (HDR) takes a set of photographs taken in different range exposures and converges all into one single image containing details from a range of brightness giving a more accurate image to be used for improving accuracy in detection analysis. More space is needed to save HDR images. Prediction of Filling Differences (PFD) is a lossless compression method for saving HDR images, according to the fixed predictor of JPEG-LS that makes use of similar characteristics of these images to improve file compression effectively. This method outperforms the JPEG-LS in file compression and requires less file storage space.
Starting Page	581
Ending Page	586
File Size	333599
Page Count	6
File Format	PDF
ISBN	9780769533827
DOI	10.1109/ISDA.2008.127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brightness Phase frequency detector Genomics image compression Electrokinetics lossless Proteins Image coding Image analysis JPEG-LS HDR image Space technology prediction Filling Bioinformatics
Content Type	Text
Resource Type	Article

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