Modified Firefly Algorithm (MFA) Based Vector Quantization for Image Compression

Chiranjeevi, K.; Jena, Uma Ranjan; Krishna, B. Murali; Kumar, Jeevan

doi:10.1007/978-81-322-2731-1_35

Cited by 7 publications

(3 citation statements)

References 7 publications

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“…

f = {italiccI}^{a},

where f is the perceived magnitude of the fragrance, c is the sensory modality, and I is the intensity of stimulation. Similarly, to the fitness of firefly algorithms stated in Reference 41, genetic algorithms or the bacterial foraging algorithm, other types of intensity can be described in Reference 42. Figure 2 depicts the Foraging and Mating stage.…”

Section: Review Of Proposed Approach For Current Workmentioning

confidence: 99%

HybridBOA‐GWO‐PSOalgorithm for mitigation of congestion by optimal reactive power management

Badi

Mahapatra

Raj

2021

Optim Control Appl Methods

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The generation of power with load optimization, particularly in the current deregulated electricity market conditions, is a very important process for improved planning and operation of the grid. In addition, it is very important for the system not to experience problems due to congestion, have tensile stability, and protection to increase the share of electricity from renewable sources with the current supply system. This article presents load balancing with the butterfly optimization algorithm (BOA) in a hybridized form to minimize and maximize loads when used in pool and hybrid markets. The methods have been designed to prevent the drawbacks of BOA and generate a better trade-off between exploration and exploitation abilities by hybridizing it with particle swarm optimization (PSO) and gray wolf optimizer (GWO). Empirical research on other algorithms shows that proposed hybrid BOA-GWO-PSO algorithm performs better and shows potential in diverse problems. These studies give it a significant advantage over BOA in general, and when it is employed to solve complex optimization problems validated on benchmark IEEE 30 bus system. A comparative analysis has been conducted to validate the potency of the hybrid BOA-GWO-PSO approach with some conventional meta-heuristic algorithms.Analysis of results by mathematical validation on 23 benchmark functions and application in congestion management by optimal reactive power management (RPM) reveal that the proposed technique has the potent to solve real world optimization problems and is competitive with recent methods reported in state-ofart literature.

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“…

f = {italiccI}^{a},

Section: Review Of Proposed Approach For Current Workmentioning

confidence: 99%

HybridBOA‐GWO‐PSOalgorithm for mitigation of congestion by optimal reactive power management

Badi

Mahapatra

Raj

2021

Optim Control Appl Methods

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“…FFs, with high brightness, are attracted by low bright FFs or else random search takes place, which reduces the exploration part. Hence, FA was altered in the literature [22] which provided a particular mechanism to follow in case of unavailability of brighter FFs in the search space. A bat algorithm [23]-based codebook design was devised with a proper choice of tuning variables and the study ensured better performance with higher PSNR value and convergence time in comparison with traditional FF algorithm.…”

Section: Literature Reviewmentioning

confidence: 99%

An Optimal Lempel Ziv Markov Based Microarray Image Compression Algorithm

Sowmyalakshmi¹,

Waly²,

Sikkandar³

et al. 2021

Computers, Materials &Amp; Continua

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In the recent years, microarray technology gained attention for concurrent monitoring of numerous microarray images. It remains a major challenge to process, store and transmit such huge volumes of microarray images. So, image compression techniques are used in the reduction of number of bits so that it can be stored and the images can be shared easily. Various techniques have been proposed in the past with applications in different domains. The current research paper presents a novel image compression technique i.e., optimized Linde-Buzo-Gray (OLBG) with Lempel Ziv Markov Algorithm (LZMA) coding technique called OLBG-LZMA for compressing microarray images without any loss of quality. LBG model is generally used in designing a local optimal codebook for image compression. Codebook construction is treated as an optimization issue and can be resolved with the help of Grey Wolf Optimization (GWO) algorithm. Once the codebook is constructed by LBG-GWO algorithm, LZMA is employed for the compression of index table and raise its compression efficiency additionally. Experiments were performed on high resolution Tissue Microarray (TMA) image dataset of 50 prostate tissue samples collected from prostate cancer patients. The compression performance of the proposed coding esd compared with recently proposed techniques. The simulation results infer that OLBG-LZMA coding achieved a significant compression performance compared to other techniques.

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“…The results show that MFA-LBG algorithm provided a betterreconstructed image than the FA-LBG and LBG algorithms. The convergence time of MFA is also less than the FA [100][101][102]. Valsesia et al (2016) proposed universal spectral vector quantization method for the multispectral image compression.…”

Section: A Hybrid Image Compression Approachmentioning

confidence: 99%

Image Compression Using Different Optimization Algorithms: A Review

2021

Aswan University Journal of Sciences and Technology

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Image compression is most essential requirement for efficient utilization of storage space and transmission bandwidth. Image compression technique involves reducing the size of the image without degrading the quality of the image. Currently many image compression algorithms are used to deal with increasing amount of data involved but still finding the alternative solution is the area of research as shown in Fig 1.Fig 1 Image Compression

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Modified Firefly Algorithm (MFA) Based Vector Quantization for Image Compression

Cited by 7 publications

References 7 publications

HybridBOA‐GWO‐PSOalgorithm for mitigation of congestion by optimal reactive power management

HybridBOA‐GWO‐PSOalgorithm for mitigation of congestion by optimal reactive power management

An Optimal Lempel Ziv Markov Based Microarray Image Compression Algorithm

Image Compression Using Different Optimization Algorithms: A Review

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