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6 articles for “wiener filter”
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A Review on Various Image and Video Restoration Techniques
Abstract: Reconstruction of low value deteriorated image into high quality improved image is termed as image restoration. The sight of this paper is to have knowledge about mixed restoration techniques like, average filter, median filter, wiener filter, blind de-convolution, and wavelet transform etc. The basis of restoration is to undo the operation of degraded image. There are many grounds because of which degradation takes place like, poor weather conditions, camera misfocus, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 50–58 Read article
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Survey Image Denoising with Its Comparative Techniques
Abstract: In Image processing, image denoising is a serious problem at some extent. Removing noise from the original image is still a problem. Various researchers have proposed many algorithms to overcome the problem of image denoising in image processing with its advantages. Depending on the type of the noise, the degradation of the image will vary. This paper presents a review of various researchers. Also present the noise model and their …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 2, 2015 · pp. 23–29 Read article
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A Novel Approach to Image Enhancement using FUZZY Set
Abstract: ABSTRACTIn this paper FUZZY set has been used to deal with image enhancement problems of some uncertain and inaccurate image. The traditional image enhancement method like histogram modification, image smoothing, image sharpening inverse filters and wiener filter for inaccurate and uncertain image is undesirable. As fuzzy system is capable of representing diverse, non-exact, uncertain and inaccurate knowledge of information, it has attracted the attention of for image enhancement. The generalized …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 28–34 Read article
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Back-Propagation Neural Network Based Speaker Identification Under Noise Distortion
Abstract: The aim of this paper is to evaluate the performance of the proposed speaker identification system where Wiener filtering technique has been used to eliminate the background white Gaussian noises and linear discriminant analysis has been used to reduce the dimension of the speech features. Since the audio signal captures more environmental noises than other biometrics modalities, the main emphasis of this paper is to analyze the problem domains of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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A Brief Review on Image Restoration of Foggy Image with its Techniques
Abstract: Fog removal also known as visibility restoration refers to the different method that aims to reduce or remove the degradation that has occurred while the digital image was being obtained. The degradation may be due to various factors like relative object-camera motion, blur due to camera miss-focus, relative atmospheric turbulence and others. This paper has focused on the various fog removal techniques like dark channel prior (DCP), CLAHE, wiener filtering, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 45–51 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article