Titlebook: Recent Trends in Signal and Image Processing; ISSIP 2017 Siddhartha Bhattacharyya,Anirban Mukherjee,Kaori Y Conference proceedings 2019 Spr

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3D Object Recognition Based on Data Fusion at Feature Level via Principal Component Analysis,y building accurate 3D models of these objects. The 3D object reconstruction is the creation of 3D models from a set of images. Different reconstruction techniques can be used to obtain 3D models using calibrated and uncalibrated images of the required object. In this work, a method for evaluating t

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Conference proceedings 2019 covering a wide range of signal processing applications involving filtering, encoding, classification, segmentation, clustering, feature extraction, denoising, watermarking, object recognition, reconstruction and fractal analysis. Various types of signals including image, video, speech, non-speech

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,Medav Filter—Filter for Removal of Image Noise with the Combination of Median and Average Filters,PSNR) which eventually improved the signal-to-noise ratio (SNR). We also described an efficient model for image restoration. The analysis of the algorithm and the Medav Filter shows that the complexity, as well as the performance, is improved as compared to the primitive filters.

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Classification of Metamaterial-Based Defected Photonic Crystal Structure from Band-Pass Filter Char it is hardly possible to identify the device from the filter behavior. Apriori algorithm is utilized for association analysis to determine 100% confidence. Result shows that 98.53% accuracy is provided with neural network-based classifier with 98.93% sensitivity and 98.08% specificity when computation is made over 1000 samples.

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Motion Artifact Reduction from Finger Photoplethysmogram Using Discrete Wavelet Transform,methods by calculating performance measures such as signal-to-noise ratio improvement, mean square error, and percentage noise retention. The mother wavelet ‘Db6’ and ‘rigrsure’ soft thresholding method showed the best result.