BAT Optimization-Based Vector Quantization Algorithm for Compression of CT Medical Images

Kumar, S. N.; Fred, A. Lenin; Kumar, H. Ajay; Varghese, P. Sebastin; Daniel, Ashy V.

doi:10.1007/978-981-13-1477-3_5

Cited by 8 publications

(3 citation statements)

References 9 publications

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“…If the LOA created the codebook, LZMA was executed for compressing the index table and higher the compression performance of LOA. Kumar et al [ 23 ] execute the LBG with BAT optimized technique that creates a suitable codebook. An optimized technique was utilized not only for the codebook proposal along with for the codebook size chosen.…”

Section: Related Workmentioning

confidence: 99%

Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique

Alkhaldi

Alsedais

Halawani

et al. 2022

Computational Intelligence and Neuroscience

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DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction. Microarray images can be investigated well for obtaining the contained genetic data. But is it undesirable to retain the genetic data and avoid the microarray images? Due to considerable attention to DNA microarray and several experiments being performed under distinct conditions, a massive quantity of data gets produced over the globe. In order to store and share the microarray images, effective storage and communication models are needed in a natural way. Vector quantization (VQ) is a commonly utilized tool for compressing images, which mainly aims to produce effective codebooks comprising a collection of codewords. Therefore, this paper presents a manta ray foraging optimization (MRFO) with Linde–Buzo–Gray (LBG) based microarray image compression (MRFOLBG-MIC) technique. The LBG model is commonly utilized to design local optimal codebooks to compress images. The construction of codebooks can be defined as a nondeterministic polynomial time (NP) hard problem and can be resolved by the MRFO algorithm. The codebooks produced from LBG-VQ are optimized using the MRFO algorithm to attain optimum optimal codebooks. When the codebooks are produced by the MRFOLBG-MIC algorithm, Deflate model can be applied to compress the index tables. The design of the MRFO algorithm with LBG and Deflate based index table compression demonstrate the novelty of the work. For demonstrating the enhanced compression efficacy of the MRFOLBG-MIC model, a wide-ranging experimental validation process is performed using a benchmark dataset. The experimental outcomes inferred that the MRFOLBG-MIC model accomplished superior outcomes over the other existing models.

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Section: Related Workmentioning

confidence: 99%

Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique

Alkhaldi

Alsedais

Halawani

et al. 2022

Computational Intelligence and Neuroscience

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“…The biodiversity has different levels, values and challenges (Ashok, 2016;Arya, 2021). There is a necessity of ecological balance for widespread biodiversity and the biodiversity loss has ecological impact (Verma 2017(Verma , 2018aKumar and Verma, 2017). The ecological balance is an indispensable need for human survival (Verma, 2018b).…”

Section: Introductionmentioning

confidence: 99%

Macrozoobenthos Diversity of Sai River at Raebareli, India

Daisy¹,

Arya²

2021

International Journal on Biological Sciences

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Macrozoobenthos are the best indicators of the stress in the aquatic ecosystem. Distribution of macrozoobenthos is determined by a number of factors such as physical nature of the substratum, depth, nutritive content of the water body. Present study was conducted to assess the diversity of macrozoobenthos of Sai River, Raebareli, Uttar Pradesh during July 2020 to June 2021. During the present investigation, a total number of 24genera of macrozoobenthic fauna were recorded from one year of investigation. Observations revealed that phylum Mollusca acquires dominant position with 45.83% of total faunal composition while phylum Annelida constitutes 29.16% and comes on second position whereas, least faunal abundance was found from phylum Arthropoda which contributes about 25%.

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“…Parametre sayısı ve uygulama kolaylığı nedeniyle MSO metodu da analitik çözümü olmayan mühendislik problemlere başarılı yaklaşık çözümler üretebilmiştir [21][22][23][24][25][26][27][28][29][30][31][32], [37][38][39][40]. En son çıkan tekniklerden biri olan Yarasa Optimizasyonu (YO) birçok tekniğin birleştirilmesi ile literatürde yerini almıştır [33]. Başka bir Algoritma olan Guguk kuşu algoritması VN tekniğine başarılı bir şekilde entegre edilmiştir [36].…”

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Levy Uçuşlu Meyve Si̇neği̇ Algori̇tmasi İle Görüntü Sikiştirma

Kılıç

2022

Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi

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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.

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BAT Optimization-Based Vector Quantization Algorithm for Compression of CT Medical Images

Cited by 8 publications

References 9 publications

Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique

Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique

Macrozoobenthos Diversity of Sai River at Raebareli, India

Levy Uçuşlu Meyve Si̇neği̇ Algori̇tmasi İle Görüntü Sikiştirma

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