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Case study on wavelet choice based on statistical image quality measures (CROSBI ID 241308)

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Vujović, Igor ; Kuzmanić, Ivica Case study on wavelet choice based on statistical image quality measures // Turkish Journal of Electrical Engineering and Computer Sciences, 25 (2017), 4; 2831-2845. doi: 10.3906/elk-1602-218

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

Poveznice
Indeksiranost