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Image Compression using Fusion Technique and Quantization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 63 - Number 22 |
| Year of Publication: 2013 |
| Authors: T. Rammohan, K. Sankaranarayan, Shalakha Rajan |
10.5120/10764-5382
|
T. Rammohan, K. Sankaranarayan, Shalakha Rajan . Image Compression using Fusion Technique and Quantization. International Journal of Computer Applications. 63, 22 ( February 2013), 7-11. DOI=10.5120/10764-5382
Abstract
This paper describes a method for image compression using a fusion technique: combining wavelet transform and curvelet transform. Both the transforms when used individually shows some disadvantages. Wavelets though optimal for point singularities have limitations with directional properties. Similarly curvelets are challenged with small features. By combining both the transforms , the number of bits used to represent the image is reduced. The coefficients obtained after applying fusion technique is then selected for quantization and encoding. Quantization chosen is vector quantization as it saves time compared to scalar quantization. Vector quantization, mapping of image pixel intensity vectors into binary vectors. Arithmetic encoding technique is employed. This method is effective to remove redundancy in encoding of data. This technique works fairly well for grayscale as well as colour images
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