LEVY UÇUŞLU MEYVE SİNEĞİ ALGORİTMASI İLE GÖRÜNTÜ SIKIŞTIRMA

Sayısal görüntülerin sıkıştırılıp arşivlenmesi günümüz teknolojisinde çok önemli bir ihtiyaç haline gelmiştir. Son yıllarda doğadan esinlenerek geliştirilen PSO(Parçacık sürü optimizasyonu), MSO(Meyve sineği optimizasyonu), ABO(Ateşböceği optimizasyonu), GA(Genetik Algoritma) gibi sezgisel metodlar da vektör tabanlı görüntü sıkıştırma için kullanılmaya başlamıştır. Bu çalışmada MSO, meyve sineklerinin sorunsuz bir şekilde global optimum noktaya ulaşabilmesi için Levy Uçuşu tekniği ile birleştirilmiştir. MSO algoritmasının en büyük sorunlarından biri de lokal minimum noktaya takılıp global minimuma ulaşamamasıdır. Çoğu zaman küçük nadiren de büyük yarıçap değeri veren Levy Fonksiyonu yardımı ile meyve sineği lokal minimum noktaya hiç takılmayıp global minimum noktayı garantilemektedir. Bu yeni geliştirilen LMSO(Levy uçuşlu meyve sineği optimizasyonu) tekniği standart görüntüler üzerinde test edilmiş ve aynı sıkıştırma oranlarında MSE, PSNR ölçütleri kullanıldığında diğer sezgisel algoritmalardan üstün olduğu gösterilmiştir.

Anahtar Kelimeler:

Levy Uçuşu, Görüntü Sıkıştırma, Meyve Sineği Optimizasyonu, Vektör Nicemleme

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