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Comparative Analysis of Non-Blind Deblurring Methods for Noisy Blurred Images
The objective of this study is to determine the effectiveness of non-blind image deblurring methods with respect to the identification and elimination of noise present in blurred images.
Detection and Analysis of Human Emotions through Voice and Speech Pattern Processing
This paper presents an algorithmic approach for detection and analysis of human emotions with the help of voice and speech processing.
Algorithmic Analysis of Edge Ranking and Profiling for MTF Determination of an Imaging System
Edge detection is one of the most principal techniques for detecting discontinuities in the gray levels of image pixels.
Analytical Comparison of Noise Reduction Filters for Image Restoration Using SNR Estimation
Noise removal from images is a part of image restoration in which we try to reconstruct or recover an image that has been degraded by using apriori knowledge of the degradation phenomenon.
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