Search
69 articles for “mean filter”
-
The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
-
A Comparative Study on Different Edge Detection Techniques after Applying Noise Removal Techniques to An Image
Abstract: In digital image processing and computer vision, image segmentation plays an important part. image segmentation refers to the sub division of image into different parts on the basis of different factors like edges, region, etc. edge detection is the most important factor of object recognition in an image. but unwanted signals like noise in an image can affect and degrade the edge detection process in image segmentation. this paper aims …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 33–40 Read article
-
Circular Retiming technique to design Optimized Least Mean square architecture for adaptive filter
Abstract: Circular retiming improves performance and power consumption of the Least Mean Square (LMS) adaptive filter. It is implemented for weight updated block and error computational block to minimize the adaptive filter error without violating the functional equivalence output. Here, filter multiplication block is updated in a circular convolution format and is retimed to reduce the dynamic power consumption. Additional retime flip-flops shows better performance result compared with the existing state-of-the-art …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 1–9 Read article
-
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
-
Intelligent Document Scanner
Abstract: AbstractThere is an irresistible trend in the present world for scanning the paper documents and convert it into a digitalized format. Most of these scanning treat the whole document as an entire image. In this scenario, we propose a novel “Intelligent Document Scanner” which automatically segment and classify the contents of the image document including texts, tables and images and store it as a PDF document with three sections that …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 47–57 Read article
-
Removal of Blotches and Impulse Noise in Gray Scale Images Using Non-linear Algorithm
Abstract: An image consists of artifact, which appears in an image that is actually not present in the original imaged object. An image artifact (noise) is sometimes the result of improper operation of the imager, and other times a consequence of natural processes or properties of the human body. Blotches (bulk noise) and impulses are the artifacts where blotch can be either bright or dark spots and impulse can be salt …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 22–27 Read article
-
Video Enhancement and Denoising Using HSV Domain Method
Abstract: AbstractVideo enhancement is the most essential and troublesome segments in video research. The point of video upgrade is to enhance the visual appearance of the video, or to give a superior transform portrayal for future mechanized video processing. In this paper, we exhibit an outline of video enhancement and denoising utilizing HSV (Hue, Saturation, Value) domain method. Here, DST (Discrete Shearlet Transform) decomposition strategy is applied to the H parameter …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 30–36 Read article
-
Single Sensor Camera Image Denoising Using PCA and Demosaicking with LMMSE
Abstract: Single sensor cameras are used mostly for image acquisition in digital cameras with a colour filter array (CFA). These cameras save image in an unrefined format, since the complete process of image acquisition get lengthy and complex, so it introduces noise in the image and hence requires some efficient technique for denoising. Different techniques have been used to denoise the captured image but efficiency of the algorithms has not been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
-
Optical Filters From Silicon Dioxide Doped Dyes
Abstract: In this work silicon dioxide powder of high purity 99.5% imported from china was used to fabricate optical filters by doping the SiO2 with green and red phenol dyes with different concentrations of 0.25,0.5,0.75 and 1 in terms of mg, four samples of red SiO2 doped phenol filters and four samples of green SiO2 doped phenol filters were produced by pressing the mixture of silicon dioxide powder doped with the …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 7, Issue 1, 2020 · pp. 39–48 Read article
-
Development of System for Speech Enhancement using Combinational Adaptive LMS on Reconfigurable Platform
Abstract: Low cost and robustness makes the least mean square (LMS) algorithm most popular. Improved adaptive filter performance can be obtained by combinational approach. In this paper, for speech enhancement, we used one of such approaches known as ‘filter combination’. As our simulation results show, Fixed-Sign LMS algorithm overcome other algorithms in terms of SNR and mean square error. Keywords: Adaptive filter, speech enhancement, windows, convex combination
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 3, 2016 · pp. 28–34 Read article
-
Video Surveillance and Object Tracking: A Survey
Abstract: The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 15–23 Read article
-
Classification of Mammogram Images Using Multi-SVM
Abstract: Bosom malignant growth is normal in ladies these days. It first starts when cells in the bosom start to develop wild. These cells for the most part structure a tumor that will frequently be seen on an x-beam or felt as an irregularity. Cells in about any piece of the body can become malignant in growth and can spread to different regions of the body. In the current framework, rule …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 32–51 Read article
-
Object Tracking Using Finite Element Method and Branching Filter
Abstract: AbstractWe present an approach to robustly track the object behavior that turns over time from a set of input points from a single viewpoint. The distortions considered are caused by applying forces to known Harris function on the object’s surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a finite element method to predict the …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 35–40 Read article
-
Elimination of Noise on ECG Signal Using Adaptive Filter
Abstract: There are various biomedical signals present in the human body, by examining these biomedical signal one can check the health condition of a person who is clinically fit or not. Electrocardiogram (ECG) is one of them. ECG plays an important role in the primary diagnosis, prognosis and survival analysis of heart diseases. This ECG signal is corrupted by various noises like power line interference, baseline wandering etc. One way to …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 9–15 Read article
-
An Efficient RNS Based Sparse Kogge Stone Parallel Pre-fix Adder with Filter
Abstract: AbstractLow power very large-scale integration (VLSI) circuits are important for designing of high performance and portable devices. Along with that the high speed, small area and low cost are also the main considerations of VLSI circuits. The importance of low power is increasing day by day because of changing trend, packaging and cooling cost, portable system and reliability. This paper presents the design of Digital FIR filter using reverse converter …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 43–51 Read article
-
Optimization of Symmetric Linear Phase Low Pass FIR Filter Using Genetic Algorithm
Abstract: In the proposed paper, optimization of symmetric linear phase low pass Finite Impulse Response (FIR) filter using Genetic Algorithm GA is a computational optimization technique; which optimizes the Mean Square Error (MSE) and filter coefficients with the help of fitness function. The optimize results are compared with two different filter designing analysis (FDA) methods viz. least square method and equiripple method
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 9–14 Read article
-
Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
-
Harmonic Mitigation in Shunt Active Power Filter Regulation Approaches with Synchronous Reference Frame: An Extensive Analysis
Abstract: The Shunt Active Power Filter (SAPF) is discussed in this work as a means of removing line-side current harmonics. The Voltage Source Inverter (VSI) topology serves as the foundation for the Active Power Filter. It resolves the power system's harmonic current issue. Additionally, it balances the load on three phases and compensates for reactive power (if load is unbalanced). After measuring load current, it switches to the dq0 coordinate system. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 6–15 Read article
-
Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
-
Evaluation of Best Watershed Management Practice for Sediment Yield Reduction (The Case Study of Baro Akobo of Upper Gilo Watershed, Ethiopia)
Abstract: This study aimed to estimate the sediment yield, evaluating its distribution, and compare the selected Best Management Practices (BMPs) and identify relatively effective management practices to alleviate soil erosion and sedimentation yield in the Upper Gillo watershed. Soil and Water Assessment Tool (SWAT) model with the interface of Geographical Information System (GIS) were used to simulate, streamflow and sediment yield. Meteorological, hydrological and spatial data were used while modeling the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 1–17 Read article