AN INNOVATIVE APPROACH FOR DATA HIDING IN COLOUR IMAGES USING COMPRESSION TECHNIQUES

Abstract

A new method is proposed for concealing data and reducing file size in color images. This approach combines the technique combines pattern-based side match vector quantization with patch-based image inpainting. This integration consolidates data hiding and image compression into a unified module, enhancing overall efficiency.

At the sender's end, Adaptive Vector Quantization compresses boundary blocks of the image, while residual blocks accommodate embedded secret data and undergo compression using either PSMVQ or patch-based image inpainting. Adaptive Vector Quantization handles more Advanced blocks are utilized to handle visual distortion and facilitate error diffusion. After segmenting the compressed image into blocks, the recipient can effectively retrieve concealed data and decompress the image employing PSMVQ and patch-based image inpainting methodologies.