Digital Image Inpainting Using Cellular Neural Network

Digital Image Inpainting Using Cellular Neural Network,P. Elango,K. Murugesan

Digital Image Inpainting Using Cellular Neural Network   (Citations: 2)
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Digital Image inpainting methods provide a means for reconstruction of small damaged portions of an image. Image or video resources are often received in poor conditions, mostly with noise or defects making the resources difficult to read and understand. Some methods are presented that can be used for the reconstruction of damaged or partially known images. We propose an effective algorithm with CNN, that can be used to inpainting digital images or video frames with very high noise ratio. Noises inside the cell with different sizes are inpainted with different levels of surrounding information. So, the result showed that an almost blurred image or unrecognized cell can be recovered with visually good effect. The proposed method takes the possibility of direct implementation of an existing CNN chip into account, in a single step, by using 3x3 dimensional linear reaction templates. This same method can be further used for processing motion picture with high percentage of noise.
Published in 2009.
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    • ...Another algorithm for recovering small regions and noise in an image is proposed in paper [5]...

    P. Goyalet al. Fast and Enhanced Algorithm for Exemplar Based Image Inpainting

    • ...This approach, however often leads to the formation of Gibbs-type artifacts [6] around sharp discontinuities, due to the elimination of small wavelet coefficients that should have retained...
    • ...The EM algorithm formalizes the idea of replacing the missing data by estimated ones from coefficients of previous iteration, and then reestimates the new expansion coefficients from the complete formed data, and iterates the process until convergence [5, 6]. We here restrict ourselves to zero- mean additive white Gaussian noise, even if the theory of the EM can be developed for the regular exponential family...

    R. Gomathiet al. An efficient GEM model for image inpainting using a new directional sp...

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