Performance Comparison of Multi-resolution Wavelet Transforms to Hybrid Transforms for Image Compression
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 4
Abstract
This paper proposes multi-resolution based image compression method. Wavelets have ability to analyze the signal at different resolutions to give different levels of details in the image. This property has been used in image compression and performance is compared with hybrid transform and hybrid wavelets generated using respective component transforms. Kekre transform (DKT) is paired with Hartley transform, Discrete Sine Transform and Real Fourier Transform to obtain respective hybrid wavelet transforms. Experiments show that DKT-Real DFT gives better image compression than DKT-Hartley and DKT-DST pair. Performance is evaluated using Root Mean Square Error (RMSE), Mean Absolute Error (MAE) and Average Fractional Change in Pixel Value (AFCPV). It has been observed that hybrid wavelet transform proves better than its multi-resolution analysis and hybrid transform. DKT (32x32) -RealDFT (8x8) hybrid wavelet gives the best performance with lowest values of all error metrics.
Authors and Affiliations
H. B. Kekre, Prachi Natu
Keywords
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- EP ID EP27898
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