alexa Survey on Swarm Intelligence Based Optimization Techni
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

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Research Article

Survey on Swarm Intelligence Based Optimization Technique for Image Compression

Vivek G, Vrinda Shetty
  1. Student (M.Tech), Department of CSE, Sai Vidya Institute of Technology, Bangalore, India
  2. Assistant Professor & HOD, Department of ISE, Sai Vidya Institute of Technology, Bangalore, India
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Abstract

Image compression is one of the most important and successful applications of the wavelet transform. Images will have huge amount of information which require more storage space, and high transmission bandwidths and more transmission time. So it is important to compress the image by eliminating the redundant information in the image and encoding only the essential information. As multimedia information‟s are growing in huge numbers there is a need for compression, to reduce the hardware storage space and bandwidths for transmission. Hence image compression has become a necessity. This paper reviews some of the optimization techniques used for image compression. These techniques are based on Swarm intelligence. Swarm Intelligence is based on the collective behaviour of self-organized, decentralized, artificial or natural systems. This paper reviews some of the optimization algorithms based on Swarm intelligence like Ant colony optimization, Artificial Bee Colony Algorithm, Particle swarm optimization, and the Intelligent water drop algorithm.

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