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Blind Watermarking Technique for Copyright Protection of Image Based on DCT, DWT, SVD, BFO and PBFO Domain

Author(s):

Sonam Naidu , Kalinga University; Gouri Upadhyay, Kalinga University; Rahul Chawda, Kalinga University

Keywords:

Watermarking, DWT, DCT, SVD, BFO, PBFO

Abstract

Watermarking is the process of inserting predefined patterns into multimedia data in a way that the degradation of quality is minimized and remain at an imperceptible level. Many digital watermarking algorithms have been proposed in special and transform domains. The techniques in the spatial domain still have relatively low-bit capacity and are not resistant enough to lossy image compression and other image processing operations. For instance, a simple noise in the image may eliminate the watermark. On the other hand, frequency domain-based techniques can embed more bits for watermark and are more robust to attack. Some transforms such as Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) are used for watermarking in the frequency domain. In this thesis, we compare the DCT watermarking algorithms and especially the DWT watermarking algorithms based on robustness criteria. In other words, the robustness of different transform watermark algorithms is evaluated by applying different attacks. One main reason to consider the DWT watermarking algorithms is that several multimedia standards such as the JPEG2000 and MPEG-4 are based on the DWT. These new standards brought new requirements such as progressive, low bit rate transmission, and region-of-interest coding. This paper presents a digital watermarking technique which is based on DWT, DCT and SVD. DWT has excellent spatial localization, frequency spread and multi resolution characteristics. DCT & SVD based watermarking techniques offer compression. These desirable properties are used in this combined watermarking technique. Compared with DWT-DCT, DCT SVD, DWT-SVD based watermarking techniques; experimental results show that this algorithm is robust to various attacks such as JPEG compression, cropping, rotation, and noise which are checked by the invovlement of Bacterial Foraging Optimisation (BFO) and Parallel Bacterial Foraging Optimisation (PBFO).

Other Details

Paper ID: IJSRDV8I60267
Published in: Volume : 8, Issue : 6
Publication Date: 01/09/2020
Page(s): 417-420

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