DocumentCode
2824392
Title
Accurate distortion measurement for B-spline-based shape coding
Author
Lai, Zhongyuan ; Zuo, Zhen ; Wang, Zhe ; Yao, Zhijun ; Liu, Wenyu
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2011
fDate
11-14 Sept. 2011
Firstpage
225
Lastpage
228
Abstract
In this paper, we present a new contour point distortion measurement, called accurate distortion measurement for B-spline-based shape coding (ADMBSC). Different from existing distortion measurements containing approximation, quantization or parameterization, our distortion is defined as the shortest distance from the original B-spline to the associated contour point. This is in line with the subjective-based objective quality metric. Geometric relationships are introduced to simplify computation, followed by a hybrid admissible distortion checking algorithm to reduce execution time. Theoretical analysis and experimental results demonstrate that when the operational rate-distortion optimal shape coding framework under the minimum-maximum criterion is applied, the ADMBSC can lead to the smallest bit-rate among all the distortion measurements that can guarantee the admissible distortion. Moreover, if the original contour has NC points, it takes only O(NC) time for segment distortion measuring paradigms, whose computational complexity is the same as the lowest one among the existing distortion measurements.
Keywords
computational complexity; distortion; image coding; minimax techniques; shape recognition; splines (mathematics); B-spline-based shape coding; computational complexity; contour point distortion measurement; hybrid admissible distortion checking algorithm; minimum-maximum criterion; operational rate-distortion optimal shape coding framework; segment distortion measuring paradigms; subjective-based objective quality metric; Computational modeling; Distortion measurement; Encoding; Image coding; Mathematical model; Shape; Spline; Video coding; image coding; image quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location
Brussels
ISSN
1522-4880
Print_ISBN
978-1-4577-1304-0
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2011.6116088
Filename
6116088
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