Case study on wavelet choice based on statistical image quality measures (CROSBI ID 241308)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Vujović, Igor ; Kuzmanić, Ivica
engleski
Case study on wavelet choice based on statistical image quality measures
Surveillance applications are under many negative influences, which should be suppressed, because these negative influences result in incorrectness of the motion mask. Suppression of several conflicting requirements can be optimized by a multiobjective approach. This paper proposes a multiobjective approach to selection of wavelets based on two main objectives: statistical image quality measures and execution time. Execution time is a measure of wavelets complexity. Segmentation is the final goal in order to insure precise operation of any surveillance algorithm. This paper presents a case study considering one, two, three, and four goals for wavelet selection comparison. Different wavelets are found to be an optimal choice for different weights of the objectives.
Wavelet transforms ; Video surveillance ; Image quality measure ; Multiobjective approach
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Podaci o izdanju
25 (4)
2017.
2831-2845
objavljeno
1300-0632
1303-6203
10.3906/elk-1602-218
Povezanost rada
Elektrotehnika, Računarstvo, Tehnologija prometa i transport