In this research, a certain level of modifications to the original content can be acceptable. These schemes are called near-reversible. In this embedded content is allowed to be manipulated and the content can be restored almost to the original content. It has emerged application in remote sensing. In remote sensing application the image is captured while monitoring the damaged regions in the natural disasters such as tsunami, volcanic eruption, etc. proposed scheme have less pixel alterations or coefficients as an alternate to more alterations. In reversible data embedding shows the evidence of low embedding capacity and complexity. Already exist a few near reversible hiding schemes, deals with capacity, robustness and visual quality metrics. when the data is hidden in the image which is unclear, for accessing that image best quality metrics we need to use, generally the conventional mertric PSNR is not sufficient. Therefore, we present an HVS based metrics like PSNR_HVS, PSNR_HVS_M, MSSIM. Using frequency domain transform that evaluates the overall image quality. Hence, the new knowledge on this research paper is design of near-reversible scheme which has wider applications in remote sensing.
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