Title
Lossless Compression Of Images Using A Hybrid Transform/Differentiation Technique
Abstract
A technique for the lossless compression of images is proposed. The algorithm employed here is based on a hybrid system utilizing a one dimensional (1-D) Discrete Cosine Transform (DCT) to decorrelate the adjacent pixels in each image line in the spatial domain and a one dimensional differentiator to reduce the redundancy in the adjacent transform points in each line in the perpendicular direction. The proposed lossless technique is developed and applied to different classes of images. Its performance is compared, for these applications, with the two dimensional (2-D) lossless DCT approach. Simulation results indicate that the proposed technique provides increased compression while requiring less computations than the lossless 2-D DCT scheme.
Publication Date
1-1-1995
Publication Title
Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume
2
Number of Pages
1429-1433
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/ACSSC.1995.540934
Copyright Status
Unknown
Socpus ID
85062172970 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85062172970
STARS Citation
Nijim, Yousef W.; Stearns, Samuel D.; and Mikhael, Wasfy B., "Lossless Compression Of Images Using A Hybrid Transform/Differentiation Technique" (1995). Scopus Export 1990s. 1692.
https://stars.library.ucf.edu/scopus1990/1692