IMPROVING VISUAL QUALITY IN REVERSIBLE IMAGE DATAHIDING USING CONTRAST ENHANCEMENT TECHNIQUES

Abstract

A novel approach to processing digital photographs is demonstrated in this research, and this technique is known as reversible data concealing. Maintaining a high PSNR value is not the primary objective of the proposed approach, but by emphasizing the contrasts between its components, it enhances the visual appeal of a central picture. Data is included by selecting the two biggest bins in the histogram, which allows for a second round of processing to accomplish histogram equalization. In addition to the message bits, the host image also stores other data, and because of this, the original photo can be restored to its original state. Two sets of shots demonstrate the effectiveness of the proposed strategy. As far as is known, this is the pioneering effort to enhance visual contrast through the use of reversible data hiding (RDH) techniques. Additionally, research has demonstrated that the visual integrity of images remains unaltered even after extensive addition of message bits to enhance their visibility. This approach outperforms three other well-known MATLAB techniques for enhancing picture contrast.