Paper
1 March 2005 New method of calculation of reversible integer 1D DCTs
Artyom M. Grigoryan, Veerabhadra S. Bhamidipati, Srikrishna Alla
Author Affiliations +
Proceedings Volume 5672, Image Processing: Algorithms and Systems IV; (2005) https://doi.org/10.1117/12.586203
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
The integer-to-integer discrete cosine and other unitary transforms become popular in recent years in such applications as lossless image coding, mobile computing, filter banks, and other areas. In this paper, we present new matrix representations of the reversible integer discrete cosine transforms (IDCT) that are based on the canonical representation and floor function. A new concept of the kernel integer discrete cosine transform is introduced, that allows us to reduce the calculation of the IDCT of type II to the kernel IDCT with a fewer operations of multiplication and floor function. The application of the kernel IDCT is described for calculation of the eight-point IDCT of type II, when seven multiplications and seven floor functions can be saved. The parameterized two-point DCT of type IV and its particular case that requires two operations of multiplication, four additions, and two floor functions are presented. The golden two-point DCT that minimizes the error of the cosine transform approximation by the IDCT is also considered. Application of the kernel DCT for calculating the eight-point IDCT results in the saving of twelve multiplications and twelve floor functions, when considered the decomposition of the transform by the Walsh-Hadamard transform.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Artyom M. Grigoryan, Veerabhadra S. Bhamidipati, and Srikrishna Alla "New method of calculation of reversible integer 1D DCTs", Proc. SPIE 5672, Image Processing: Algorithms and Systems IV, (1 March 2005); https://doi.org/10.1117/12.586203
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KEYWORDS
Transform theory

Image compression

Matrices

Algorithm development

Computer programming

Image filtering

Image processing

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