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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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              <text>A Hybrid Grayscale Image Scrambling Framework Using Block Minimization and Arnold Transform</text>
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              <text>Decoding; Encoding; Entropy; Image Confusion; Image processing</text>
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              <text>Image disarranging is the process of randomly rearranging picture elements to make the visibility unreadable and break the link among neighboring elements. Pixel values often don't change while they are being scrambled. There has been a slew of proposed image encryption techniques recently. The two steps that most image encryption algorithms go through are confusion and diffusion. Using a scrambling technique, the pixel positions are permuted during the confusion phase, and an inverse-able function is used to modify the pixel values during the diffusion phase. A good scrambling method practically eliminates the high relationships between adjacent pixels in a picture. In the proposed scheme, XOR based minimization operator is applied on blocks of images followed by Arnold Transform. The suggested design is assessed using a matrix comprising the Structured Similarity Index and the Peak Signal to Noise Ratio. The computed PSNR value less than 10 indicates the input image and scrambled image has high variation. The SSIM value nearer to 0 indicates no similarity in the structure of the input image and scrambled image.  2024 IEEE.</text>
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          <name>Creator</name>
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              <text>Shiju Thomas M.Y.; Krishna A.V.N.</text>
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              <text>2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions), ICRITO 2024</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2024-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICRITO61523.2024.10522409" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICRITO61523.2024.10522409&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 979-835035035-7</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Shiju Thomas M.Y., Rajagiri College of Social, Sciences(Autonomous), Department of Computer Science, Kerala, India; Krishna A.V.N., School of Engineering and Technology, Christ (Deemed to Be University), Department of Computer Science and Engineering, Karnataka, Bangalore, India</text>
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