Certain level of modifications to the original content can be acceptable. These schemes are called nearreversible. It has emerging 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. Instead of more alterations to the pixels or coefficients here we go for less alterations , low hiding capacity and complexity that exhibit while reversible data hiding. There exist a few near reversible hiding schemes which address the limitations to the triangular trade-off that exists between capacity, robustness and visual quality characteristics. However, for achieving better vision of image, there is a need for near reversible data hiding schemes. Therefore, the traditional metric PSNR are not sufficient to assess the distorted image when the data is embedded in image for assessing the better visual quality of the image with hidden data we present a HVS based metrics like PSNR-HVS, MSSIM. Using DCT evaluates the overall image quality.
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