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This paper addresses the problem of stabilizing underwater videos with non-uniform geometric deformations or warping due to a wavy water surface. It presents an improved method to correct these geometric deformations of the frames, providing a high-quality stabilized video output. For this purpose, a non-rigid image registration technique is employed to accurately align the warped frames with respect...
We systematically evaluate the performance of smoothing on several state-of-the-art sparsity prior CT reconstruction algorithms. State-of-the-art algorithms have been implemented and their performance analyzed with and without applying different smoothing filters. Aiming for successful reconstruction from less number of projections, sparsity prior reconstruction algorithms are found to be useful in...
In this paper, we present an innovative compressive sensing based iterative algorithm for tomographic reconstruction. Back-projection has been customized to make it work even when the projections are not uniformly distributed, and thus ensures a better initial guess to start ART iterations. Contour information of the object has been used efficiently for faster and finer reconstruction. Aiming successful...
This paper introduces a novel image quality metric that outperforms other existing and widely used metrics, namely the Root Mean Square Error (RMSE) and Structural Similarity Index (SSIM). Objective methods for assessing perceptual image quality are important for many image processing applications nowadays, however none of the existing metrics are completely satisfactory. Structural Similarity Index...
This paper introduces a novel image quality metric that outperforms other existing and widely used metrics, namely the Root Mean Square Error (RMSE). While objective methods for assessing perceptual image quality to quantify the visibility of errors between a distorted image and a reference image have got utmost importance nowadays, none of the proposed metrics are completely satisfactory. Structural...
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