The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Optimization of filter parameters are important to improve the performance of the filter for the intended application. In general, the optimized parameters of the image filter for a particular application may not be suitable for other applications as well. Hence to have a better performance, it is always required to modify the filter coefficients or parameters. In this paper the author propose few...
Digital images are corrupted by impulse noise mainly due to sensor faults of image acquisition devices and adverse channel environment which in turn degrades the image quality. A decision based switching median filter (DBSMF) to restore images corrupted with high density impulse noise is proposed in this paper. The global use of standard median filters for impulse noise removal from corrupted images...
An adaptive wiener filter design method is presented using quality based hybrid algorithms. The proposed method restore degraded image using Wiener filter with Gradient based smoothing and Median filter with an adaption of Bilateral filter for edge preserving and Guided filter for reducing staircase effect and gradient reversal. Using this method, clear images are obtained from degraded images without...
This paper compares the performance analysis of our proposed New Time Varying LMS (NTVLMS) algorithm with other well-known adaptive algorithms such as LMS, NLMS, RVSSLMS, NVSSLMS and TVLMS algorithm. These algorithms have been tested for their adaptive noise cancellation capabilities in the context of stationary signal corrupted by additive white Gaussian noise. The parameters Convergence rate, output...
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.
The paper proposes a new methodology in order to improve the quality of satellite images. It is demonstrated that it is possible to achieve a better performance than that of Bilateral filter in a variety of noise levels. We have proposed Weiner filter in accordance with SPEA2 algorithm which removes pre-filtering and high noise level: therefore it improves the Peak Signal-to-Noise Ratio (PSNR) and...
Switching median filter is known as one of effective algorithms for impulse noise reduction. In this paper, we present an improved switching median filter by considering weighted neighboring pixel locations. Specifically, the proposed method generates a flag map using boundary discriminative noise detection(BDND) detector. Next, we conduct a noise reduction by estimating the local noise density. When...
This paper describes new algorithms promoting sparsity in modified filtered-x algorithms for active noise control. The proposed algorithms are based on recent techniques incorporating approximations to the to-norm in the cost function used. An approximation to the affine projection algorithm leads to new zero-attracting and reweighted zero-attracting modified filtered-x pseudo affine projection algorithms...
Now a days mobile devices are capable of performing more operations in less amount of time. More number of GPU and CPU cores are added to the mobile devices. Due to increase in processing power various image processing algorithms are targeted at mobile devices. The users of these devices demand quality that is similar to that of a professional camera. There are definite limitations on the sensors...
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,...
The increasing interest in image fusion (combining images of two or more modalities such as infrared and visible light radiation) has led to a need for accurate and reliable image assessment methods. This paper gives a novel approach of merging the information content from several videos taken from the same scene in order to rack up a combined video that contains the finest information coming from...
The cubature Kalman filter algorithm needs to know the statistical characteristic. When tracking a target, the algorithm may result in a divergence because of an unknown noise. This paper proposes an adaptive cubature Kalman filter based on cubature Kalman filter and Sage-Husa estimator. The proposed algorithm brings a Sage-Husa estimator in the cubature Kalman filter algorithm, so it can estimates...
When the system model and noise statistical characteristics are known, the conventional Kalman filtering algorithm is suitable. In most cases, the noise statistics are unknown. To improve the alignment precision and convergence speed of strap-down inertial navigation system, an initial alignment method based on Sage-Husa adaptive filter is proposed. Automatic on-line estimation and correction for...
Impulse noise removal is considered one of the most burning topic in digital image processing (DIP). When an image is formed, factors like lighting (source, and intensity) and camera characteristics like the sensor response, lenses and also atmospheric condition affect the presence of the image. It hides the important fine points and information of images. In order to enhance the qualities of the...
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...
Most of the image processing techniques does not perform well when images are corrupted with noise therefore restoration of corrupted images is considered as preprocessing step in most of the image processing applications. Detection and removal of impulse noise is an active area of research and in this paper a novel technique has been proposed which remove Random value impulse noise (RVIN) from digital...
According to the problems that there are low detection rate and high false reject rate based on traditional image processing algorithms, this article proposes a method that combines SSDA and character contour searching algorithms to recognize the digital segment codes' large flaws and extract characters in the VFD image, and by image subtraction, maximum between-cluster variance (Otsu) and mathematical...
The two-dimensional images are often insufficient to achieve a perfect diagnosis in the medical area; on the other hand the three-dimensional images allow having an interesting deductive vision and there denoising has become a necessity and an essential need. Many methods have been proposed to reduce noise and to preserve edge, are usually used for 2D images and they have been extended to 3D data...
In recent years Location-Based Information Systems have increased its popularity in the market of mobile applications, however, due to the ability of smartphones and similar devices to estimate location in real time using GPS or through network providers; it is critical to implement techniques to protect such sensitive information while still make it available to the service provider. This paper presents...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.