TY - GEN
T1 - Application of reversible denoising and lifting steps to LDgEb and RCT color space transforms for improved lossless compression
AU - Starosolski, Roman
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - The lifting step of a reversible color space transform employed during image compression may increase the total amount of noise that has to be encoded. Previously, to alleviate this problem in the case of a simple color space transform RDgDb, we replaced transform lifting steps with reversible denoising and lifting steps (RDLS), which are lifting steps integrated with denoising filters. In this study, we apply RDLS to more complex color space transforms LDgEb and RCT and evaluate RDLS effects on bitrates of lossless JPEG-LS, JPEG 2000, and JPEG XR coding for a diverse image test-set. We find that RDLS effects differ among transforms, yet are similar for different algorithms; for the employed denoising filter selection method, on average the bitrate improvements of RDLS-modified LDgEb and RCT are not as high as of the simpler transform. The RDLS applicability reaches beyond image data storage; due to its general nature it may be exploited in other lifting-based transforms, e.g., during the image analysis for data mining.
AB - The lifting step of a reversible color space transform employed during image compression may increase the total amount of noise that has to be encoded. Previously, to alleviate this problem in the case of a simple color space transform RDgDb, we replaced transform lifting steps with reversible denoising and lifting steps (RDLS), which are lifting steps integrated with denoising filters. In this study, we apply RDLS to more complex color space transforms LDgEb and RCT and evaluate RDLS effects on bitrates of lossless JPEG-LS, JPEG 2000, and JPEG XR coding for a diverse image test-set. We find that RDLS effects differ among transforms, yet are similar for different algorithms; for the employed denoising filter selection method, on average the bitrate improvements of RDLS-modified LDgEb and RCT are not as high as of the simpler transform. The RDLS applicability reaches beyond image data storage; due to its general nature it may be exploited in other lifting-based transforms, e.g., during the image analysis for data mining.
KW - Denoising
KW - Image processing
KW - JPEG 2000
KW - JPEG XR
KW - JPEG-LS
KW - LDgEb
KW - Lifting technique
KW - Lossless image compression
KW - RCT
KW - RDgDb
KW - Reversible denoising and lifting step
UR - https://www.scopus.com/pages/publications/84964739573
U2 - 10.1007/978-3-319-34099-9_48
DO - 10.1007/978-3-319-34099-9_48
M3 - Conference contribution
AN - SCOPUS:84964739573
SN - 9783319340982
T3 - Communications in Computer and Information Science
SP - 623
EP - 632
BT - Beyond Databases, Architectures and Structures
A2 - Kozielski, Stanislaw
A2 - Mrozek, Dariusz
A2 - Kasprowski, Pawel
A2 - Malysiak-Mrozek, Bozena
A2 - Kostrzewa, Daniel
PB - Springer Verlag
T2 - 12th International Conference on Beyond Databases, Architectures and Structures, BDAS 2016
Y2 - 31 May 2016 through 3 June 2016
ER -