Digital Image Watermarking at Different Levels of DWT using RGB Channels
Dayanand G. Savakar1, Shivanand Pujar2
1Dr. Dayanand G. Savakar, Professor, Department of Computer Science, Dr.P.G.Halakatti Centre, Rani Channamma University, vijaypura Karnataka, India.
2Mr. Shivanand Pujar, Department of Computer Science Rani Channamma University Belgavi Karnataka.
Manuscript received on January 02, 2020. | Revised Manuscript received on January 15, 2020. | Manuscript published on January 30, 2020. | PP: 559-570 | Volume-8 Issue-5, January 2020. | Retrieval Number: D6821118419/2020©BEIESP | DOI: 10.35940/ijrte.D6821.018520
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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: Abstract—This paper presents a digital image watermarking scheme comprising of DWT transformation. Due to the common practice of creating the copy, transmitting and spreading the data duplication of the original data occurs. Digital image watermarking has the ability to provide a solution for the unauthorized duplication problem. The scheme designed and presented in this paper comprises of mainly two modules one for embedding the watermark within the cover image and another for retrieving the watermark from the watermarked image. The process is carried out at different levels of the DWT transformation within different sub-bands of the DWT transformation. The extraction process involves the extraction of the watermark image form different channels of the RGB image mainly red, green and blue. The robustness and imperceptibility are tested. In each of the case, the corresponding PSNR and correlation values are noted and the results obtained concludes the scheme as the robust, semi-fragile and fragile digital image watermarking at different levels of the DWT transformation.
Keywords: Discrete Wavelet Transformation (DWT), Peak-Signal to Noise ratio (PSNR), Fragile watermarking, Semi-fragile watermarking.
Scope of the Article: Aggregation, integration, and transformation.