Dr. Ziya Arnavut of the Department of Computer and Information Sciences has been conducting research and writing code to create a new and efficient Lossless Color Image Compression Executable program.
He noted that his work, known as BWIC_I 2019, is completed and is available from his website.
Dr. Arnavut’s work was published on Sept. 16, in theJournal of Electronic Imaging with the title “Technique for lossless compression of Color Images based on hierarchical prediction, inversion and cotext adaptive coding.” His research proved that on a wide variety of image sets, particularly on medical images, the new technique achieves better compression gains than several well-known image compressors such as JPEG 2000, CALIC, LOCO-I and other previously proposed techniques.
Arnavut was approached recently by a private technology firm about utilizing BWIC_I 2019 technique to develop a fast video coder for use by the U.S. Navy.
