Human Visual System Inspired Color Space Transform in Lossy JPEG 2000 and JPEG XR Compression

• Published in: Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation Vol. 716; pp. 564 - 575
• Main Author: Starosolski, Roman
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2017; Springer International Publishing
• Series: Communications in Computer and Information Science
• Subjects: Bio-inspired computations; Color space transform; Human visual system; ICT; Image compression standards; Image processing; JPEG 2000; JPEG XR; LDgEb; Lossy image compression; YCbCr; YCoCg
• ISBN: 9783319582733; 3319582739
• ISSN: 1865-0929; 1865-0937
• DOI: 10.1007/978-3-319-58274-0_44

In this paper, we present a very simple color space transform HVSCT inspired by an actual analog transform performed by the human visual system. We evaluate the applicability of the transform to lossy image compression by comparing it, in the cases of JPEG 2000 and JPEG-XR coding, to the ICT/YCbCr and YCoCg transforms for 3 sets of test images. The presented transform is competitive, especially for high-quality or near-lossless compression. In general, while the HVSCT transform results in PSNR close to YCoCg and better than the most commonly used YCbCr transform, at the highest bitrates it is in many cases the best among the tested transforms. The HVSCT applicability reaches beyond the compressed image storage; as its components are closer to the components transmitted to the human brain via the optic nerve than the components of traditional transforms, it may be effective for algorithms aimed at mimicking the effects of processing done by the human visual system, e.g., for image recognition, retrieval, or image analysis for data mining.