Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 4

image restoration Related Publications

4 Single Image Defogging Method Using Variational Approach for Edge-Preserving Regularization

Authors: Soon-Young Park, Wan-Hyun Cho, In-Seop Na, Seong-ChaeSeo, Sang-Kyoon Kim

Abstract:

In this paper, we propose the variational approach to solve single image defogging problem. In the inference process of the atmospheric veil, we defined new functional for atmospheric veil that satisfy edge-preserving regularization property. By using the fundamental lemma of calculus of variations, we derive the Euler-Lagrange equation foratmospheric veil that can find the maxima of a given functional. This equation can be solved by using a gradient decent method and time parameter. Then, we can have obtained the estimated atmospheric veil, and then have conducted the image restoration by using inferred atmospheric veil. Finally we have improved the contrast of restoration image by various histogram equalization methods. The experimental results show that the proposed method achieves rather good defogging results.

Keywords: Transmission, Image Enhancement, variational approach, image restoration, Image defogging, Atmospheric veil, Euler-Lagrange equation

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3 A Novel Approach to Image Compression of Colour Images by Plane Reduction Technique

Authors: K.Sowmyan, A.Siddarth, D.Menaka

Abstract:

Several methods have been proposed for color image compression but the reconstructed image had very low signal to noise ratio which made it inefficient. This paper describes a lossy compression technique for color images which overcomes the drawbacks. The technique works on spatial domain where the pixel values of RGB planes of the input color image is mapped onto two dimensional planes. The proposed technique produced better results than JPEG2000, 2DPCA and a comparative study is reported based on the image quality measures such as PSNR and MSE.Experiments on real time images are shown that compare this methodology with previous ones and demonstrate its advantages.

Keywords: root mean square, image restoration, Color Image compression, spatial domain, planereduction

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2 An Adaptive Model for Blind Image Restoration using Bayesian Approach

Authors: C. Ardil, S. Panda, K. K. Nagwanshi, S.K. Satpathy, S.K. Nayak

Abstract:

Image restoration involves elimination of noise. Filtering techniques were adopted so far to restore images since last five decades. In this paper, we consider the problem of image restoration degraded by a blur function and corrupted by random noise. A method for reducing additive noise in images by explicit analysis of local image statistics is introduced and compared to other noise reduction methods. The proposed method, which makes use of an a priori noise model, has been evaluated on various types of images. Bayesian based algorithms and technique of image processing have been described and substantiated with experimentation using MATLAB.

Keywords: Neural Networks, bayesian classifier, image restoration, Probability DensityFunction (PDF)

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1 Effect of Neighborhood Size on Negative Weights in Punctual Kriging Based Image Restoration

Authors: Anwar M. Mirza, Asmatullah Chaudhry

Abstract:

We present a general comparison of punctual kriging based image restoration for different neighbourhood sizes. The formulation of the technique under consideration is based on punctual kriging and fuzzy concepts for image restoration in spatial domain. Three different neighbourhood windows are considered to estimate the semivariance at different lags for studying its effect in reduction of negative weights resulted in punctual kriging, consequently restoration of degraded images. Our results show that effect of neighbourhood size higher than 5x5 on reduction in negative weights is insignificant. In addition, image quality measures, such as structure similarity indices, peak signal to noise ratios and the new variogram based quality measures; show that 3x3 window size gives better performance as compared with larger window sizes.

Keywords: image restoration, punctual kriging, semi-variance, structure similarity index, negative weights in punctual kriging

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