Paper
1 August 1992 Priority subband image coding
Steve S. Yu, Nikolas P. Galatsanos, Yunming George Huang
Author Affiliations +
Proceedings Volume 1778, Imaging Technologies and Applications; (1992) https://doi.org/10.1117/12.130981
Event: Optical Engineering Midwest 1992, 1992, Chicago, IL, United States
Abstract
In this paper a new approach based on the subband decomposition (SBD) for compression and progressive transmission of images is presented. The novelty of this approach is that the transform coefficients of all image subbands are coded and transmitted in absolute magnitude order. The ordered-by-magnitude transmission is accomplished by using partition priority coding (PPC) a new source coding method that allows the simultaneous transmission of the coefficients of a data set in an ordered fashion along with position information. Using this approach, coding and transmission are adaptable to the characteristics of each individual image and therefore very efficient. Another advantage of this approach is its high progression effectiveness. Since the largest transform coefficients that capture the most important characteristics of images are coded and transmitted first this method is well suited for progressive image transmission (PIT). Further compression of the image data is achieved by adaptive multiple subsources distribution technique based on arithmetic coding. Experiments are presented where the new SBD approach was tested. It is shown that it compares favorably with previously reported discrete cosine transform (DCT) and subband image codecs and is also very effective for progressive image transmission.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Steve S. Yu, Nikolas P. Galatsanos, and Yunming George Huang "Priority subband image coding", Proc. SPIE 1778, Imaging Technologies and Applications, (1 August 1992); https://doi.org/10.1117/12.130981
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KEYWORDS
Image compression

Image transmission

Data compression

Imaging technologies

Data modeling

Quantization

Digital imaging

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