A Study of the Development of a Fuzzy Inference System Using Image Watermarking

The primary purpose of this research is to develop a non-blind image watermarking system that is both robust and unnoticeable using wavelet transforms and fuzzy inference. The emphasis is on developing discrete wavelet transform, human visual system, and fuzzy inference system-based picture watermarking that makes optimal use of human vision constraints. The purpose of this research is to develop a novel technique for embedding perfect measure watermark data into the host image without creating perceptual damage. The methodology is to combine discrete wavelet transforms, the human visual system, and fuzzy inference to enable the utilisation of human vision limits in a viable manner. Additionally, the idea is to insert a significant logo as a watermark rather than the more traditional pseudorandom paired grouping for robust image watermarking. The purpose of this project is to develop image watermarking using the discrete wavelet transform. The objective is to investigate wavelet basis functions that are ideal for picture watermarking and to empirically estimate the strength of the watermark in order to inject the maximum amount of watermark information into the host image without degrading its perceptual quality. To model and execute various assaults on watermarked photos in order to degrade their quality in order to assess performance for resilience. Additionally, performance is evaluated in the presence of the maximum potential degradation of the watermarked image in order to define effective robustness requirements. To evaluate the performance of suggested approaches based on DWT, DWT-HVS, and DWT-HVS-FIS image watermarking, as well as to compare the proposed approach's performance to that of existing approaches utilising performance parameters.