Design of Biorthogonal Filter Banks Using a Multi-objective Genetic Algorithm for an Image Coding Scheme

Boukhobza, Abdelkader; Bounoua, Abdennacer; Taleb‐Ahmed, Abdelmalik; Taleb, Nasreddine

doi:10.1007/s00034-012-9534-7

Cited by 5 publications

(4 citation statements)

References 16 publications

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“…The result is energy difference, which is thresholded and binarized to obtain the motion mask. The energy difference between the current energy matrix and the energy background wavelet model is calculated as (12):…”

Section: Case Study: Wavelet Energy Algorithmmentioning

confidence: 99%

“…A multiobjective approach is also used in image fusion [3,9], watermarking [10,11], and image/video coding [4,12].…”

Section: Introductionmentioning

confidence: 99%

“…The proposed algorithm can be summarized as follows: select the proper thresholding function considering entropy, standard deviation (SD), peak signal to noise ratio (PSNR), and structural similarity (SSIM); perform a 2D discrete wavelet transform (DWT); optimize thresholds using adaptive multiobjective particle swarm optimization (AMOPSO); threshold the coefficients of detailed coefficients by Pareto optimal threshold; and reconstruct the image. A multiobjective approach is also used in image fusion [3,9], watermarking [10,11], and image/video coding [4,12].…”

Section: Introductionmentioning

confidence: 99%

“…The optimum filter bank design based on the multiobjective approach and GA is proposed in [12]. A GA is also used in [13] in application to satellite images.…”

Section: Introductionmentioning

confidence: 99%

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Case study on wavelet choice based on statistical image quality measures

Vujović¹,

Kuzmanić²

2017

Turk J Elec Eng & Comp Sci

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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.

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Section: Case Study: Wavelet Energy Algorithmmentioning

confidence: 99%

“…A multiobjective approach is also used in image fusion [3,9], watermarking [10,11], and image/video coding [4,12].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The optimum filter bank design based on the multiobjective approach and GA is proposed in [12]. A GA is also used in [13] in application to satellite images.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations