Efficient methods for digital image watermarking and information embedding. (December 2022)

• Record Type: Journal Article
• Authors: Gupta, Sunil; Saluja, Kamal; Solanki, Vikas; Kaur, Kushwant; Singla, Parveen; Shahid, Mohammad
• Is Part Of: Measurement. Volume 24(2022)
• Publication Date: 2022-12
• Subjects: SVD -- FWHT -- QIM -- BPNN -- DFIS -- Huffman; SVD Singular Value Decomposition -- FWHT Fast Walsh Hadamard Transform -- QIM Quantization Index Modulation -- BPNN Back Propagation Neural Network -- DFIS Dynamic Fuzzy Interference System; Detectors -- Periodicals; Measurement -- Periodicals; 530.7
• DOI: 10.1016/j.measen.2022.100520
• Languages: English
• ISSNs: 2665-9174

Abstract

Abstract: Now a day to achieve security of digital data, utilizing digital image watermarking scheme is the option. The primary purpose to upgrade image watermarking scheme is to fulfill the need of sufficient imperceptibility, capacity, and robustness of watermark against several attacks like JPEG compression parameter, salt and pepper noise, cropping factor of the image part which contains a watermark and rotating the watermark at one particular angle. During embedding stage in digital image watermarking scheme, a secret message or image introduced into a host image without destroying the quality of original cover image for security and authentication of the data. During extraction stage in the watermarking scheme applying a process to that employed in insertion step but in a reverse way. In this paper different evaluation based on the watermarking methods described. Many projects have been presented such as DCT, DWT, DFT, SVD using FWHT, QIM, BPNN, DFIS, EZW, Huffman coding to provide protection, robustness and high embedding capacity. In the digital image watermarking world, where Peak signal-to-noise ratio (PSNR) is utilized to determine the image quality factor and Normalized correlation (NC) and robustness of the watermark. Using this learning opportunity an environment friendly digital image watermarking scheme can be used with sustainable infrastructure in developing countries.