SAR IMAGE COMPRESSION USING ADAPTIVE DIFFERENTIAL EVOLUTION AND PATTERN SEARCH BASED K-MEANS VECTOR QUANTIZATION


Yayıncı:
Yazar(lar):
Yayın Yılı:
2018
Yayın Türü:
Dergi Makalesi
Veritabanı:
Directory of Open Access Journals (DOAJ)
Doi
10.5566/ias.1611
Sınıflandırma
Özet
A novel Vector Quantization (VQ) technique for encoding the Bi-orthogonal wavelet decomposed image using hybrid Adaptive Differential Evolution (ADE) and a Pattern Search optimization algorithm (hADEPS) is proposed. ADE is a modified version of Differential Evolution (DE) in which mutation operation is made adaptive based on the ascending/descending objective function or fitness value and tested on twelve numerical benchmark functions and the results are compared and proved better than Genetic Algorithm (GA), ordinary DE and FA. ADE is a global optimizer which explore the global search space and PS is local optimizer which exploit a local search space, so ADE is hybridized with PS. In the proposed VQ, in a codebook of codewords, 62.5% of codewords are assigned and optimized for the approximation coefficients and the remaining 37.5% are equally assigned to horizontal, vertical and diagonal coefficients. The superiority of proposed hybrid Adaptive Differential Evolution and Pattern Search (hADE-PS) optimized vector quantization over DE is demonstrated. The proposed technique is compared with DE based VQ and ADE based quantization and with standard LBG algorithm. Results show higher Peak Signal-to-Noise Ratio (PSNR) and Structural Similiraty Index Measure (SSIM) indicating better reconstruction.
Benzer Eserler
2013 yılında
Computational Intelligence and Neuroscience dergisinde
yayınlandı.
1996 yılında
yayınlandı.
2013 yılında
Computational Intelligence and Neuroscience dergisinde
yayınlandı.
2002 yılında
yayınlandı.
1998 yılında
yayınlandı.
1999 yılında
yayınlandı.
2022 yılında
Multimedia Tools and Applications dergisinde
yayınlandı.
1997 yılında
Radioengineering dergisinde
yayınlandı.