Dual Tree Complex Wavelet Transform Based Image Compression Using Thresholding
نویسندگان
چکیده
Large size images consist of multiple bands data which occupies large space. Image compression becomes important for such large image or data’s to reduce the bandwidth in transmission over a network and in storage space. Wavelet transform is an efficient tool with some limitations for various image processing applications. And these limitations are overcome by complex wavelet transform. In this paper dual tree complex wavelet transform is implemented based on arithmetic encoding algorithm. Dual tree complex wavelet transform (DTCWT) brings wavelet co-efficient nearer to zero. Also thresholding generates more zeros to yield higher compression ratio for an image compression with high quality image. Arithmetic coding algorithm is employed in this proposed method to improve compression ratio for compression of an image or data. The proposed method is implemented in MATLAB and the experimental result is compared with DCT Arithmetic and Huffman coding. The proposed method yields compression ratio of 3.6312 which is 33% and 24.03% higher than DCT using Arithmetic and Huffman coding respectively.
منابع مشابه
2D Dual-Tree Complex Wavelet Transform Based Image Analysis
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