Abstract: In this paper wavelet based method have expanded in the field of still image, they offer the advantage of a better trade of between complexity, Compression and quality over the tradition DCT - based method, However for image compression WVT has a problem with the orientation selectively. It does not represent two dimensional Singularities effectively, to overcome this problem used Contourlet transform for image compression. It can better represent curve and edge of two dimensional images. CTT is a multi-scale and directional de-composition of a signal using a combination of modified LP and a directional filter bank. CTT can be applied efficiently to capture smooth contours at larger resolutions, while WVT can be used for lower resolution images for further information compaction. A comparative study is performed between the contourlet and the Wavelet analysis in terms of result quality and information compaction using a new metric.
Keywords: Transform, Contourlet Transform, De-composition, Directional Filter Bank
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DOI:
10.17148/IJARCCE.2019.8451
