A Review of Image Compression Using Fractal Image Compression with Neural Network
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2018, Vol 6, Issue 2
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
- EP ID EP748152
- DOI 10.21276/ijircst.2018.6.2.1
- Views 45
- Downloads 0
Analyzing The Performance of Environmental Friendly Concrete That Contains Acid-Treated (H2SO4, H3PO4) Recycled Aggregate
Its poor quality was one of the key problems preventing recycled course aggregate (RCA) from being used in concrete mixes. The quality of recycled aggregate may be impacted by cement mortar on the surface of the material...
Material Bottlenecks in the Future Development of Green Technologies
Reducing emissions global economies demands the development of "green technology," which entails a reorganization of the energy sector to use renewable energy sources and nitrogen transportation systems. This reconstruct...
RS CODED OFDM BY UNIQUE WORD PREFIX
— We expand our recently introduced concept of unique word orthogonal frequency division multiplexing (UW-OFDM). In UW-OFDM the cyclic prefixes (CPs) are replaced by deterministic sequences, the so-called unique words (U...
Object Detection Using Convolutional Neural Networks: A Review
The amount of data on the Internet has increased dramatically as a result of the advent of intelligent devices and social media. Object detection has become a popular international study topic as an important element of...
Design of High Strength Concrete Using Stone Dust
The purpose of this paper is to investigate the effect of stone-crushed dust on the specific properties of fresh and toughened concrete (M25). These experimental trails for fresh and toughened concrete properties for M-2...