New Approach on Hybrid Image Compression

Abstract

Digital images are used in many applications. Large amount of data is necessary to represent the digital images so the transmission and storage of such images are time-consuming and infeasible. Hence the information in the images is compressed by extracting only the visible elements. Normally the image compression technique can reduce the storage and transmission costs. During Image compression, the size of a graphics file is reduced in bytes without disturbing the quality of the image beyond an acceptable level. Several methods such as Discrete Cosine Transform (DCT), DWT, Etc. are used for compressing the images. But, these methods contain some blocking artifacts. In order to overcome this difficulty and to compress the image efficiently, a combination of DCT and fractal image compression techniques is proposed. DCT is employed to compress the color image while the fractal image compression is employed to evade the repetitive compressions of analogous blocks. Analogous blocks are found by using the Euclidean distance measure. Here, the given image is encoded by means of Huffman encoding technique. The implementation result shows the effectiveness of the proposed scheme in compressing the color image.

Authors and Affiliations

S. Vijayaraghavan

Keywords

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  • EP ID EP24119
  • DOI -
  • Views 310
  • Downloads 11

How To Cite

S. Vijayaraghavan (2017). New Approach on Hybrid Image Compression. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(5), -. https://www.europub.co.uk/articles/-A-24119