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This paper proposes a modified approach to filter Salt & Pepper Noise by applying Fuzzy logic with auxiliary BDND algorithm and FSM filtering for grayscale images. Main purpose of this algorithm is to provide an efficient method to differentiate unwanted noise pixels with image edge pixels to restore the details and textures in grayscale images. The approach constitutes two phases: one phase detects...
Object removal in an image, is very useful in image processing field. Most often there comes a need to remove some scratches, small objects, unwanted text or logos from images. It can be done manually with a lot of effort and time. So, automatic version of this method is required through which it can be done easily and in lesser time. This can be done mainly in two ways — diffusion based and exemplar...
This paper introduces an efficient approach towards blind deblurring of palm print images suffered from severe motion blur. First an improved Hough transform method is proposed to detect the blur angle and length of palm print image accurately. Analysis of blurred image is performed in Fourier domain which contains important information about the blur orientation of an image. After detecting the blur...
In this paper, we present a novel iterative median filter based strategy to improve the quality of the depth maps provided by sensors like Microsoft Kinect. The quality of the depth map is improved in two aspects, by filling holes present in the maps and by addressing the random noise. The holes are filled by iteratively applying a median based filter which takes into account the RGB components as...
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...
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 presents an automatic deblurring approach for motion blur images. The approach explores the prior of the intensity and gradient to estimate the motion blur kernel from single blurred image. In this way, motion blur kernel could be well estimated not only on daytime images, but also on nighttime images. Efficient optimization method was given for the prior-based approach. Besides, a cost-effective...
A conceptually simple hybrid Super Resolution (SR) algorithm is proposed using an adaptive edge sharpening algorithm. Most of the existing Super resolution algorithms are not robust to handle the high noisy conditions due to the ambiguity between the sharpening and denoising processes. The Low Resolution (LR) images are applied with the adaptive edge sharpening algorithm that is capable of capturing...
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...
Image mosaicking technology, as an image processing technology that can aggregate the information from a sequence of images, has been used to process large size images. In this paper, we are trying to apply the mosaicking technology to nonideal iris recognition study. The proposed algorithm composes the information from a collection of iris images, and generates a “composite” image. The experiment...
This paper presents a two stage process for image de-noising and edge enhancement by applying singular value decomposition technique on anisotropic diffused images. The two diffused versions of the input noisy image are generated in the first stage by anisotropic diffusion. The first diffused image is a well smoothed image and the second diffused image is sharp edge detected image. Singular value...
In this paper, a new unsupervised design method of the weighted median filter (WMF) is proposed for recovering images from impulse noise. A design problem of WMFs is to determine a suitable window shape, and an appropriate weight for each element in the window. The purpose of the filter for the noise removal is generally to estimate the original values precisely for corrupted pixels while preserving...
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...
Image deblurring is important for photography and biomédical engineering. There are many existing deblurring methods. However, it is still a challenge to reconstruct images clearly without increasing the effect of noise. In this paper, based on that the probability distributions of gradients vary for different parts of an image, we apply edge adaptation and hybrid norm prior and propose a new deblurring...
Raw individual Adaptive-Optics-corrected flood-illuminated retinal images are usually quite noisy because of safety flux limitations. These flood-illuminated images are also of poor contrast. Interpretation of such images is therefore difficult without an appropriate post-processing, which typically includes the registration of the recorded image stack into a mosaic image and the restoration of the...
Motion blur is a most common degradation present in the photograph captured from hand held camera. Minute visual details are lost and spreaded over pixels creating smearing impact in captured image due to motion blur. It's hazardous for machine vision application and should be corrected by any restoration methodology. As no information is available about kind of degradation and true image, restoration...
Image noise is difficult to avoid during the image acquisition and communication, and thus we need to suppress noise in the low level vision. Among all of the existing image denoising methods, image priors, such as hyper-Laplacian priors of the heavy-tailed distribution of image gradient, play an important role. However, many denoising methods tend to smooth the fine textures while suppressing noise,...
In this paper, we propose a new method for designing the variation restoration model which uses the noise evaluation to decide the approximation term and the information of geometrical structures in the blurred and noised images to choose the regularization term. We adjust the measurement for the approximation term based on the noise variance in the degraded image. By computing the mean curvature...
Depth maps generated by Kinect cameras often contain a significant amount of missing pixels and strong noise, limiting their usability in many computer vision applications. In this paper we present an efficient hole filling and damaged region restoration method that improves the quality of the depth maps obtained with the Microsoft Kinect device. The proposed approach based on a modified exemplar-based...
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