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Watermarking, LSB (Least Significant Bit), DCT (Discrete Cosine Transform), spatial, frequency, Blind, Non-Blind, DWT (Discrete Wavelet Transform)
Image provides complete detailed information for thing or object. It is considered as an important aspect of analyzing the details of various objects or environments of real life applications. From analyzing or studying images, various techniques come into existence. These include zooming, watermarking, hazing, and compression. Each has its own advantages and disadvantages with respect to various implicit functions defined for the techniques. The research paper focuses on watermarking techniques. The techniques of watermarking have their advantages and outperforms better when combined with wavelets transformations (DWT) followed by interpolations. The wavelets and interpolations provide a good quality enhanced and zoomed watermarked images at the time of its encoding and decoding processes. The images are embedded with sample images considered as hidden information. After the extraction process image interpolation method is applied to the image to get a quality image. The process is suggested in order to view the changed pixels of images after encoding of two images. The combination of DWT watermarking and interpolation provides 52% better results when compared to existing techniques.
Sandeep Kaur, Himanshu Jindal, "Enhanced Image Watermarking Technique using Wavelets and Interpolation", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.7, pp.23-35, 2017. DOI:10.5815/ijigsp.2017.07.03
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