Performance Analysis of Image Processing in Hexagonal Grid Based on Image Compression, Denoising and Steganography
Jeevan K. M.1, Padmaja V. K.2, Anne Gowda A. B.3, S. Krishnakumar4
1Jeevan K. M, Department of Electrical, Electronics and Communication Engineering, GITAM Deemed to be University, Bangalore Campus (Karnataka), India.
2Padmaja V. K, GITAM School of Technology, Banglore (Karnataka), India.
3Anne Gowda A. B, GITAM School of Technology, Banglore (Karnataka), India.
4S.Krishnakumar, Mahatma Gandhi University, Kottayam (Kerala), India.
Manuscript received on 15 December 2019 | Revised Manuscript received on 22 December 2019 | Manuscript Published on 31 December 2019 | PP: 26-31 | Volume-9 Issue-1S6 December 2019 | Retrieval Number: A10061291S619/19©BEIESP | DOI: 10.35940/ijeat.A1006.1291S619
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Abstract: This paper gives a summary of different works we had performed in hexagonal grid for the performance analysis of image processing in hexagonal grid. Processing based on hexagonal grid is a new approach in image processing because of its various advantages. This paper covers image compression and image denoising in hexagonal grid. Image compression using wavelet transform is performed in hexagonal grid. The performance of compression in hexagonal grid and conventional rectangular grid are analyzed in terms of Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). It is observed that better PSNR is obtained in the case of hexagonal grid. Wavelet thresholding based method is done for image denoising in hexagonal grid. The thresholding method is named as ‘Jeevkrish’ method, which is the modification of Neigh Shrinkthresholding method. The performance is analyzed using MSE, PSNR and Structural Similarity (SSIM) Index. An algorithm (‘JK’ algorithm) for generating a pseudo hexagonal structure image and a method for image hiding using the pseudo hexagonal image as the cover image are also discussed in this paper.
Keywords: Hexagonal Image, Gabor Filter, Compression, Denoising, Steganography.
Scope of the Article: Image Security