Wavelet transform based on Meyer algorithm for image edge and blocking artifact reduction

Abstract In this study, a wavelet transform based on Meyer algorithm with edge-angle tracking capability is proposed for edge and blocking artifact reduction of an image, during image compression processes. This new proposed scheme is quite different from the conventional curvelet scheme, which can be viewed as using post-processing, after wavelet transform, to track only the edge of a high-frequency section of wavelet coefficients. However, the proposed wavelet transform scheme based on Meyer algorithm is with a complete wavelet design procedure, which is suitable for multiresolution analysis; it possesses the orthonormal property of conventional wavelet transforms. From computer simulation, we verify the merits of the proposed scheme over the conventional approaches, in terms of achieving better performance based on the subjective and objective (e.g., the peak signal-to-noise ratio) analysis.

[1]  R. Sheth,et al.  Secured digital image watermarking with discrete cosine transform and discrete wavelet transform method , 2016, 2016 International Conference on Advances in Computing, Communication, & Automation (ICACCA) (Spring).

[2]  Nam Chul Kim,et al.  Reduction of blocking artifact in block-coded images using wavelet transform , 1998, IEEE Trans. Circuits Syst. Video Technol..

[3]  Jelena Kovacevic,et al.  Wavelets and Subband Coding , 2013, Prentice Hall Signal Processing Series.

[4]  Fengling Han,et al.  Fingerprint authentication enhancement using combination of DWT and DCT , 2015, 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA).

[5]  Fionn Murtagh,et al.  Gray and color image contrast enhancement by the curvelet transform , 2003, IEEE Trans. Image Process..

[6]  Yu Yan,et al.  An exponential threshold function wavelet denoising method based on Gaussian distribution , 2016, 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD).

[7]  Taha H. Rassem,et al.  Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics , 2016, IET Image Process..

[8]  Emmanuel J. Candès,et al.  The curvelet transform for image denoising , 2002, IEEE Trans. Image Process..

[9]  Mario Mastriani,et al.  Denoising and compression in wavelet domain via projection onto approximation coefficients , 2009, ArXiv.

[10]  Shalu Singh,et al.  A secure non-blind block based digital image watermarking technique using DWT and DCT , 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

[11]  Krishna Mohan Buddhiraju,et al.  Textural classification based on wavelet, curvelet and contourlet features , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[12]  Wan-Chi Siu,et al.  A deblocking technique for block-transform compressed image using wavelet transform modulus maxima , 1998, IEEE Trans. Image Process..

[13]  Vinay Kumar Deolia,et al.  Comparative analysis of LSB, DCT and DWT for Digital Watermarking , 2015, 2015 2nd International Conference on Computing for Sustainable Global Development (INDIACom).

[14]  Touradj Ebrahimi,et al.  The JPEG 2000 still image compression standard , 2001, IEEE Signal Process. Mag..

[15]  Sujit M. Deokar,et al.  Blind audio watermarking based on discrete wavelet and cosine transform , 2015, 2015 International Conference on Industrial Instrumentation and Control (ICIC).

[16]  M. A. Peer,et al.  A channel wise color image watermarking scheme based on Discrete Wavelet Transformation , 2014, 2014 International Conference on Computing for Sustainable Global Development (INDIACom).

[17]  A. S. Manjunath,et al.  Enhanced Scalable Video Coding Technique with an Adaptive Dual Tree Complex Wavelet Transform , 2016 .

[18]  Jian-Feng Cai,et al.  Image restoration: A wavelet frame based model for piecewise smooth functions and beyond , 2016 .

[19]  Gregory K. Wallace,et al.  The JPEG still picture compression standard , 1991, CACM.

[20]  Y. Meyer.  Wavelets and Operators , 1993 .