The Hybrid Approach for Image Watermarking using GLCM Algorithm
Rohit Singh1, Simrandeep Singh2, Nitin Sharma3
1Rohit Singh, Chandigarh University, (Punjab), India.
2Simrandeep Singh, Chandigarh University, (Punjab), India.
3Nitin Sharma, Chandigarh University, (Punjab), India.
Manuscript received on 13 June 2019 | Revised Manuscript received on 09 July 2019 | Manuscript Published on 17 July 2019 | PP: 105-111 | Volume-8 Issue-1C2 May 2019 | Retrieval Number: A10200581C219/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The image processing is the technology which is applied to process digital information in the form of pixels. The watermarking is the scheme which secure sensitivity image. The various schemes are proposed for the generation of watermark images. In the previous research work, the scheme of chaotic maps with Arnold transformation is used for the image encryption. The scheme of discrete wavelet transformation is applied for the image embedding. The bit selection for the image embedding is selected randomly which is inefficient approach. When the bits are selected randomly, the quality of watermark image degrades.In this research work, the gray level cooccurrence matrix algorithm is applied which select the embedding bit dynamically. The proposed scheme is implemented in MATLAB and compared with existing in terms of peak signal noise ratio, magnitude signal error and bit error rate.
Keywords: Arnold transformation, Chaotic maps, Discrete Wavelet Transform (DWT), Gray-Level Co-occurrence Matrix (GLCM), Inverse Discrete Wavelet Transform (IDWT).
Scope of the Article: Algorithm Engineering