Image Quality Assessment for Partial Encryption using Modified Cyclic Bit Manipulation
Parameshachari B. D.1, K. M. Sunjiv Soyjaudah2, Sumithra Devi K. A.3

1Parameshachai B. D., Department of Electronics and Communication Engineering, JSS Academy of Technical Education, Vacoas, Mauritius Research Scholar, Jain University, Bangalore, Karnatka, India.
2Dr. K. M. Sunjiv Soyjaudah, Professor, Department of Electrical & Electronic Engineering, University of Mauritius, Reduit, Mauritius. Dr. Sumitra Devi K. A., Director, Department of Master of Computer Applications, R V College of Engineering, Bagalore, India

Manuscript received on 07 February 2013 | Revised Manuscript received on 21 February 2013 | Manuscript Published on 28 February 2013 | PP: 84-87 | Volume-2 Issue-3, February 2013 | Retrieval Number: C0427022313/2013©BEIESP
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Abstract: Measurement of image quality is important for many image processing applications. Image quality assessment is closely related to image similarity assessment in which quality is based on the differences (or similarity) between a degraded image and the original, unmodified image. There are two ways to measure image quality by subjective or objective assessment. Subjective evaluations are expensive and time-consuming. It is impossible to implement them into automatic real-time systems. Objective evaluations are automatic and mathematical defined algorithm. Subjective measurements can be used to validate the usefulness of objective measurements. Therefore objective methods have attracted more attentions in recent years. Well-known objective evaluation algorithms for measuring image quality include mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity (SSIM). MSE & PSNR are very simple and easy to use. In this paper Image Quality Assessment for Partial Encryption Using Modified Cyclic Bit Manipulation. Proposed Partial Encryption algorithm based on the amount of encryption needed (i.e. percentage of encryption). Various objective evaluation algorithms for measuring image quality like Mean Squared Error (MSE), Peak Signal-To-Noise Ratio (PSNR) and Structural Similarity (SSIM) etc. will be studied and their results will be compared.
Keywords: Image Quality, MSE, PSNR

Scope of the Article: Encryption Methods and Tools