Lossless Image Compression using Zipper Transformation
نویسندگان
چکیده
This paper proposes a lossless compression scheme for greyscale images using Zipper Transformation (ZT) and Inverse Zipper Transformation (iZT). The proposed transformation exploits the conjugate symmetry property of DFT. We benchmark the proposed ZT with both Discrete Cosine Transformation (DCT) and Fast Walsh Hadamard Transformation (FWHT) in order to quantify the efficacy of the proposed transformation. Numerical simulations show that ZT-based compression algorithm is lossless and gives a faster implementation than its counterparts. The experiments we performed for different block sizes also reveal that the ZT-based algorithm outperforms the FWHT-based algorithm in terms of how much they losslessly compress the original image.
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