A New Digital Watermarking Algorithm Using Combination of Least Significant Bit (LSB) and Inverse Bit

TL;DR

This paper presents a novel digital watermarking algorithm combining LSB with binary inversion and pixel-based shifting, improving image quality and robustness against attacks like cropping and noise.

Contribution

The proposed algorithm introduces a new method of embedding watermarks using binary inversion and pixel position, enhancing watermark imperceptibility and resilience.

Findings

Improved PSNR compared to existing LSB methods

Robustness against cropping and noise attacks

Enhanced image quality after watermark embedding

Abstract

In this paper, we introduce a new digital watermarking algorithm using least significant bit (LSB). LSB is used because of its little effect on the image. This new algorithm is using LSB by inversing the binary values of the watermark text and shifting the watermark according to the odd or even number of pixel coordinates of image before embedding the watermark. The proposed algorithm is flexible depending on the length of the watermark text. If the length of the watermark text is more than ((MxN)/8)-2 the proposed algorithm will also embed the extra of the watermark text in the second LSB. We compare our proposed algorithm with the 1-LSB algorithm and Lee's algorithm using Peak signal-to-noise ratio (PSNR). This new algorithm improved its quality of the watermarked image. We also attack the watermarked image by using cropping and adding noise and we got good results as well.