-Image scrambling is a useful approach to protect image data by confusing the image and thus prevent it from being misused. The issues concerning the relationship among the adjacent pixels of the scrambled image, the weakness of visual leakage, and similar histogram plots being produced, all affect the image scrambling process. This paper is aimed at determining the iteration level that is extracted from a secure key and a key mask for building a scrambling table which is used in the scrambling processes and modifying the pixel colour values. The technique begins by modified pixel colour values. These pixel colour values are then scrambled by reduce or the increase (modified) the pixel colour values in the image between the range of the colour (0 to 255) by using a vertical and horizontal scrambling method based on a scrambling table. The experimental results of the paper show that the pixel colour values scrambling technique has reduced the relationship among the image elements. This occurs because the entropy value of the scrambled images has increased and the correlation value is lower. Moreover, the scrambling degree of the scrambling technique has larger values for the scrambled image. Subsequently, the pixel colour value modification in the technique helps to confuse and amend the pixel colour values of the scrambled image to produce a different histogram plot when compared with plots made from the original images.
In this paper, a new reversible image hiding scheme based on histogram shifting for grayscale images is proposed. As is known, the payload storage of histogram-based reversible data hiding is impacted by the overhead information of the pixel positions that have to be embedded in a cover image. To solve this problem, the cover image is divided into two parts, namely the Most Significant Part (MSP) and the Least Significant Part (LSP), secret data is hidden by shifting the histogram of the most significant part. To increase the payload of embedded data in a cover image, the proposed algorithm reduces the number of bits that represent the secret data without any corruption of that secret data. In addition, overflow and underflow problems are prevented by categorization of the histogram into three categories. According to the experimental results, the cover image is recovered correctly. A higher hiding capacity can be obtained and a good quality marked image is preserved when the proposed scheme is applied to hide the secret data by shifting the histogram of the most significant part instead of hiding by shifting the histogram of the whole cover image.
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