image fusion is a process of combining relevant information from two or more images into a more informative single image. Image fusion technique improves the quality of the image. In this paper, the fusion is done using dual tree complex wavelet transform and principal component analysis. The images affected by noise are taken as the set of input images. The results show the proposed algorithm has better visual quality. The fusion technique is very much useful in diagnosing and treating cancer in medical fields. This paper is based on fusion of input noisy images using Dual Tree Complex Wavelet Transform and applying Principal Component Analysis (PCA) for fused image such that better image quality is obtained and estimated using various Image quality Metrics. The noise is removed from image and better PSNR values are also obtained.
Cloud Computing Environment, the data presides over a set of networked resources and these data centers may be located in any part of the world and access of the data provided through Internet. Cloud computing facilitates computing assets on demand by the use of a service provider. In the Current Scenario, Security and privacy challenges are facing in this cloud environment. We implement our scheme and show that it is both efficient and flexible in dealing with access control for outsourced data in cloud computing with comprehensive experiments using the technique Hierarchical Attribute Based Encryption to protect data of the users and analyze its performance.
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