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This paper presents a FPGA (Field Programmable Gate Array)-based remotely sensed imagery denoising method, named FPGA-based median filtering. The proposed method is capable of processing large volume data since it takes full advantages of FPGA hardware and abundant logic units. This paper first overviews the traditional median filtering algorithm, and then highlights the FPGA-based filtering, including...
Active Noise Control (ANC) has been gaining an increasing interest in recent years. Much attention has been devoted to design of efficient control algorithms, enabling noise reduction at a high level, with computational load acceptable by currently available electronics. Among different approaches to noise control, employment of vibrating plates as secondary sources or as active barriers is particularly...
Active Noise Canceller has become very common in modern day to day electronic equipment. The adaptive filters installed inside this canceller play a crucial role in noise cancellation. The computational complexity as well as the structural complexity of the filter is an important factor to be considered for the overall performance. This depends on the structure of the filter. The structure depends...
Multiscale error diffusion (MED) is superior to conventional error diffusion algorithm as it can eliminate directional hysteresis completely and possesses good blue noise characteristics. However, due to its filter design, it is not suitable for printing processes which suffer instable dot generation and large dot gain. This paper presents a multiscale error diffusion algorithm for green noise digital...
Two methods for multiplierless elliptic IIR filter implementation are discussed: cascade realization and parallel connection of two allpass networks. Elliptic IIR filters are selected because they fulfill the requirements with lower order, and, usually, they require fewer coefficient multipliers. The comparison is made on the basis of adder costs, amplitude characteristics in pass and stop bands,...
An active noise control (ANC) is commonly applied to filtered-x least mean square (FxLMS) algorithm. But control stability can be fallen by characteristics of primary sources. So, this paper is description of control stability research using FxLMS and filtered-x normalized least mean square (FxNLMS) algorithm.
Optical Coherence Tomography (OCT) is a noninvasive technique and depth-resolved imaging modality which is a prominent ophthalmic diagnostic tool. In this paper, an automated segmentation algorithm to detect few intra-retinal layers which are important for Edema detection present in Spectral Domain Optical Coherence Tomography (SDOCT) images is presented. An algorithm for accurate segmentation of...
The traditional artificial cigarette review methods are difficult to match the high-speed automatic cigarette sorting system. In this paper, a new cigarette recognition method using the uniqueness of cigarette bar codes was proposed. Firstly, a binary image filtering algorithm based on square adaptive structure element of mathematical morphology (SASEMM) was used to get several potential sub-regions,...
This paper first reviews an adaptation algorithm named Recursive Least Moduli (RLM) algorithm for complex-domain adaptive filters. The RLM algorithm achieves significant improvement in the filter convergence speed when the filter input is strongly correlated. Stochastic models are presented for two types of impulse noise found in adaptive filtering systems: one in observation noise and another at...
Mini modern techniques rely on multipllcation as the fundamental operation. Among the different ways of performing multiplication, Montgomery multiplication introduced by Peter Montgomery is the widely used algorithm. Despite improvements in the clock frequency and the level of parallelism of conventional microprocessors, software-based implementation of Montgomery multiplication remains insufficient...
Noise has become an element of disturbance specifically in industrial equipment. Noise may be in electrical form or in mechanical form. The later form is addressed in this paper. In the instruments used in industries, mechanical vibrations constantly occur. These are needed to be addressed and removed, else they cause the actual signal to get corrupted. This corrupted signal will not give exact results...
Through thinking deeply on the algorithm of standard median filter, the algorithm is improved in order to make it faster. A fast filtering algorithm is proposed with the help of the relevance between filtering windows. The improved algorithm takes the indexes of the array storing the data of an image as media cleverly and takes the method combining the one-time total ordering with insertion sorting...
This paper concerns active control of impulsive noise. Due to nature of impulsive noise, it is very hard to be reduced with classical noise control algorithms. They used to diverge after suddenly receiving high signal values. Several algorithms have been proposed for this purpose, which are usually modifications of the popular FXLMS algorithm. In this paper an algorithm based on FXLMS, but incorporating...
In order to solve the problem of high CPU usage and long rendering time in large scale terrain rendering in the flight simulator visual system, a GPU-based terrain tessellation algorithm is presented. We introduce an adaptive tessellation factor model combines screen-space projected area, terrain energy function and movement error function. This model conforms more closely to the hypsography, the...
This paper proposes an adaptation algorithm named Recursive Least Normalized Correlation Norms (RLNCN) algorithm for adaptive filters, based on a cost function of a quantity named Normalized Correlation Norm (NCN) which generically yields a family of normalized type algorithms. The RLNCN algorithm achieves a significant improvement in filter convergence speed, while it preserves robustness against...
Baseline wander removal is an unavoidable step in ECG signal processing. The in-band nature of this noise makes its removal difficult without affecting the ECG, in particular the ST segment. This portion of the ECG has high clinical relevance, as it is related to the diagnosis of acute coronary syndromes. We have recently proposed a novel approach to baseline wander removal based on the notion of...
This paper proposes a new adaptation algorithm named Normalized Recursive Least Moduli (NRLM) algorithm which employs “p-modulus” of error and “q-norm” of filter input. p-modulus and q-norm are generalization of the modulus and norm used in complex-domain adaptive filters. The NRLM algorithm with p-modulus and q-norm makes adaptive filters fast convergent and robust against two types of impulse noise:...
Noise variation is an important parameter for many image denoising algorithms. This paper proposed a new two-step noise variation estimation algorithm based on image segmentation. In the first step, noisy image was smoothed and segmented by statistical region merge (SRM) algorithm. Then variation of every region was computed, and some regions were selected based on statistical rule to estimate the...
In this paper we consider active noise control (ANC) of impulsive noise having peaky distribution with heavy tail. Such impulsive noise can be modeled using non-Gaussian stable process for which second order moments do not exist. The most famous filtered-x least mean square (FxLMS) algorithm for ANC systems is based on second order moment of error signal, and hence, becomes unstable for the impulsive...
Image de-noising is an essential intermediate step in several medical applications related to brain MRI. The noise present in brain MRI degrades the performance of computer-aided analysis of these images. Therefore, the noise should be removed prior to subsequent processing. Non-local means (NLM) is a classical de-noising algorithm, which has been successfully applied for de-noising of brain MRI....
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