Modifying fractal image compression technique by hybridation of crowding genetic algorithm and scattered method

Küçük Resim Yok

Tarih

2021

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Maltepe Üniversitesi

Erişim Hakkı

CC0 1.0 Universal
info:eu-repo/semantics/openAccess

Araştırma projeleri

Organizasyon Birimleri

Dergi sayısı

Özet

: Fractal image coding is one of the active techniques for image compression. It always motivates for designing efficient algorithms to optimize the search space and reduce computation efforts, which is the main disadvantage of this technique. Hybridizing the metaheuristic methods has a vital interest in the optimization field. In this work, an intelligent search technique based on combining of crowding genetic and scattered search methods is proposed, in which the essential steps (generating a collection of diverse trial solutions, and the combined solutions method) in scattered search replaced by the two essential steps (the recombination and the mutation) in crowding method. Satisfactory results in reducing the computation cost of the fractal image compression technique are obtained.

Açıklama

Anahtar Kelimeler

Iterated Function System (IFS), Fractal Image Compression (FIC), Genetic Algorithm (GA), Crowding Method (CM), Scatter Search Algorithm (SSA)

Kaynak

Fourth International Conference of Mathematical Sciences

WoS Q Değeri

Scopus Q Değeri

Cilt

Sayı

Künye

Al-Bundi, S.S., AL-Jubouri, K. Q. ve Al-Saidi, N.M.G. (2021). Modifying fractal image compression technique by hybridation of crowding genetic algorithm and scattered method. Fourth International Conference of Mathematical Sciences, Maltepe Üniversitesi. s. 1-4.