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The process of repairing the damaged area or to remove the specific areas in a video is known as video inpainting. To deal with this kind of problems, not only a robust image inpainting algorithm is used, but also a technique of structure generation is used to fill-in the missing parts of a video sequence taken from a static camera. Most of the automatic techniques of video inpainting are computationally...
In this paper, we propose a novel method that uses coordinate alignment and background pixel extraction to synthesize highly accurate and spatially consistent intermediate views from a pair of stereo images and disparity maps. In contrast to the traditional depth image-based rendering (DIBR) method, where useful background pixels are discarded in the warping process, the proposed method extracts these...
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defogging method from a single image of a scene based on the atmospheric scattering model. In the inference process of the atmospheric veil, the coarser estimate is refined using a fast edge-preserving smoothing approach. The complexity...
A common framework is proposed for Gaussian, unilateral, bilateral and non-local means filters. A new denoising method is then introduced for removing additive independent Gaussian noise. It is adapted and applied for filtering signal-dependent noise such as film grain noise. The main idea is to transform the signal-dependent into independent additive Gaussian noise using a nonlinear transformation...
A simple and adaptive single image dehazing algorithm is proposed in this work. Based on the observation that a hazy image has low contrast in general, we attempt to restore the original image by enhancing the contrast. First, the proposed algorithm estimates the airlight in a given hazy image based on the quad-tree subdivision. Then, the proposed algorithm estimates the transmission map to maximize...
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of image restoration problems. Rather, it treats a video sequence as a space-time volume and poses a space-time total variation regularization to enhance the smoothness of the solution. The optimization problem is solved by transforming...
This paper presents an adaptive reconstruction method of missing textures based on structural similarity (SSIM) index. The proposed method firstly performs SSIM-based selection of the optimal known local textures to adaptively obtain subspaces for reconstructing missing textures. Furthermore, from the selected known textures, the missing texture reconstruction maximizing the SSIM index is performed...
Detection and removal of rain in image is a difficult and crucial problem due to the complexity of rain and its negative effects on image. The spatio-temporal property and the chromatic property of rain are comprehensively analyzed. Using the two properties, a simple but effective algorithm is proposed to detect and remove the rain of sequential images. Firstly time complexity of k-means is reduced...
Verifiability is essential for a secret sharing approach which allows the involved participants to detect cheaters during the secret retrieval process. In this article, we propose a verifiable secret image sharing scheme that can not only resist dishonest participants but can also satisfy the requirements of loss less and camouflage. The new approach conceals the shadows into a pixel pair of the host...
A new approach is proposed to correct geometric distortion and reduce space and time-variant blur in videos that suffer from atmospheric turbulence. We first register the frames to suppress geometric deformation using a B-spline based non-rigid registration method. Next, a fusion process is carried out to produce an image from the registered frames, which can be viewed as being convolved with a space...
In this paper, A picture is digitalized and the white noise is eliminated which appears in a motion picture of a videotape. The conventional method was developed for the purpose of repairing the blotch noise, focusing on the nature of violent video appear on the video noise, along with improvements to allow a better detection, that is, luminance threshold determination Used to improve interpolation...
This paper presents a image restoration method based on knife-edge PSF (Point Spread Function) estimation and Edge-preserving Regularization Model for the China-Brazil Earth Resource Satellite-2 (CBERS-2) image. Based on typical image area, the knife-edge method is used to obtain edge spread function and point spread function. The Huber-Markov prior model is employed to establish the regularization...
We propose a new encoder-friendly image compression strategy for high-throughput cameras and other scenarios of resource-constrained encoders. The encoder performs ℓ∞-constrained predictive coding (DPCM coupled with uniform scalar quantizer), while the decoder solves an inverse problem of ℓ2 restoration of ℓ∞-coded images. Although designed for minimum encoder complexity, the new codec outperforms...
Image restoration is the process of recovering the original image from the degraded image. Aspire of the project is to restore the blurred/degraded images using Blind Deconvolution algorithm. The fundamental task of Image deblurring is to de-convolute the degraded image with the PSF that exactly describe the distortion. Firstly, the original image is degraded using the Degradation Model. It can be...
Summary form only given. In this paper, we propose a deblurring framework based on a factor graph representation of the image and the image formation process. Each pixel is described by a variable node, while the statistical relation among pixels is formulated by two sets of check nodes, describing the local image structures and the image formation process, respectively. Belief propagation is employed...
This paper presents a newly devised noise filter namely, Adaptive Two-Stage Median Filter (ATSM) to denoise the images corrupted by fixed-value impulse noise. The performance of the proposed filter is proved to be better in terms of Peak Signal-to-Noise Ratio and human visual perception. This filter is effectual in denoising the highly corrupted image with the noise probability of 90%.
It is well known that the noise in magnetic resonance (MR) magnitude images obeys a Rician distribution. Denoising of MR images is of importance for clinical diagnosis and computerized analysis, such as tissue classification, segmentation, and registration. We propose a post-acquisition denoising algorithm in an attempt to automatically remove the random fluctuations and bias introduced by Rician...
Phase contrast and differential interference contrast, which are used to capture microscopy images of living cells, contain a few artifacts such as halo and shadow-cast effect. Removing these artifacts from microscopy images facilitates automated microscopy image analysis, such as the cell segmentation that is a critical step in cell tracking systems. We propose a restoration algorithm based on the...
In this paper, a new technique for the enhancement of color image using multiscale retinex with modified color restoration has been proposed. The basic steps of multiscale retinex algorithm have been analyzed, modified and various operations are performed in an orderly manner. The enhancement effects are visually effective. In addition, it adds true color constancy to an image. The experimental results...
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel or point spread function is unknown. Despite of exhaustive research over the last few decades, blind image deconvolution still remains an unsolved problem. In this paper, we present a novel morphology based initial estimation technique of true image for the Iterative Blind Deconvolution (IBD) of linearly...
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