A Review of Image Compression Using Fractal Image Compression with Neural Network

Abstract

Generally the fractal image compression is a new process in the images compression. It is a block based image compression technique, which detects and decodes the existing similarities between different regions in the image. The main disadvantage of FIC is that the encoding time is comparatively very high, w here as the decoding time is very short. An artificial intelligence technique like neural network is used to reduce the search space and encoding time for the MRI images with an algorithm called as “back propagation” neural network algorithm. Initially, MRI image is divided into ranges and domains of fixed size. The best matched domain is selected for each range block and its range index and best matched domain index are produced, which acts as input to the expert system and which results reduced the sets of matched domain blocks. The neural network is then trained with these resultant values. This trained net is now used to compress other MRI images which lead to a very less encoding time. During the decoding phase, the transformation parameters are recursively applied to any random original image, which then converges to the fractal image after some changes. The simulation results show that the performance of this Neural Network based FIC is really. This paper shows the neural network based FIC which produces high development in encoding time without corrupting the image quality when compared to normal FIC

Authors and Affiliations

Shamina Khatun, Anas Iqbal

Keywords

Related Articles

Walking Kinematics Approaching Stairs

Walkers encounter surfaces of varying angles every day, from shallow accessible ramps to steep outdoor hills. These individuals must constantly alter their joint mechanics to safely transition between surfaces and avoid...

Media Manipulation Detection System Using Passive Aggressive

Due to the extreme growing use of social media and online news media, there has been a rise in fake news recently. It has become much easier to spread fake news than it was before. This type of fake news, if widely circu...

Floating Gate MOSFET Based Differential Amplifier and Impact of Body Bias

In this work, a floating gate MOSFET (FGFET) based single-ended differential amplifier with current mirror active load is designed and analyzed along with the body bias. The input transistors of the differential block ar...

Two Step Verification and Data Security through the Network

Our project is basically a web based application that engages in security and the transmission of data through the network. As we know that security is now become a necessity in each and everyone’s life as there might be...

Kinetics of Free-Radical Nonbranched-Chain Processes of Formation of1,2-Alkanediols,Carbonyl Compounds,and Methanol in Alcohol–Formaldehyde Solutions Including Determinationof Free Formaldehyde and Solvent Concentrations

A mechanism of the initiated nonbranched-chain process of form-ing 1,2-alkanediols,carbonyl compounds, and methanolin alco-hol–formaldehyde systems is suggested. The quasi-steady-state treatment is used to obtain kinetic...

Download PDF file
  • EP ID EP748152
  • DOI 10.21276/ijircst.2018.6.2.1
  • Views 30
  • Downloads 0

How To Cite

Shamina Khatun, Anas Iqbal (2018). A Review of Image Compression Using Fractal Image Compression with Neural Network. International Journal of Innovative Research in Computer Science and Technology, 6(2), -. https://europub.co.uk/articles/-A-748152