Prediction Filling Differences for Compress a Set of HDR Images
Jeanne Chen, Tung-Shou Chen, Ping-Feng Chen · 2008
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.