Book ChapterDOI
Vector-valued image interpolation by an anisotropic diffusion-projection PDE
Anastasios Roussos,Petros Maragos +1 more
- pp 104-115
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TLDR
In this article, the authors proposed a nonlinear image interpolation method, based on an anisotropic diffusion PDE and designed for the general case of vector-valued images, where the interpolation solution is restricted to the subspace of functions that can recover the discrete input image, after an appropriate smoothing and sampling.Abstract:
We propose a nonlinear image interpolation method, based on an anisotropic diffusion PDE and designed for the general case of vector-valued images. The interpolation solution is restricted to the subspace of functions that can recover the discrete input image, after an appropriate smoothing and sampling. The proposed nonlinear diffusion flow lies on this subspace and its strength and anisotropy effectively adapt to the local variations and geometry of image structures. The derived model efficiently reconstructs the real image structures, leading to a natural interpolation, with reduced blurring, staircase and ringing artifacts of classic methods. This method also outperforms other existing PDE-based interpolation methods. We present experimental results that prove the potential and efficacy of the method as applied to graylevel and color images.read more
Citations
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Journal ArticleDOI
Image Compression with Anisotropic Diffusion
TL;DR: This paper introduces a novel framework for image compression that makes use of the interpolation qualities of edge-enhancing diffusion, and shows that this anisotropic diffusion equation with a diffusion tensor outperforms many other PDEs when sparse scattered data must be interpolated.
Journal ArticleDOI
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
Christian Schmaltz,Pascal Peter,Markus Mainberger,Franziska Ebel,Joachim Weickert,Andrés Bruhn +5 more
TL;DR: It is demonstrated that it is even possible to beat the quality of JPEG 2000 with EED if one uses specific subdivisions on rectangles and several important optimisations, including improved entropy coding, brightness and diffusivity optimisation, and interpolation swapping.
Journal ArticleDOI
How to Choose Interpolation Data in Images
TL;DR: A continuous PDE model is proposed and a finite dimensional setting is introduced into the continuous model based on fat pixels and study by $\Gamma$-convergence the asymptotics when the radius vanishes, showing that the resulting optimal data sets are identical to sets that can be motivated using level set ideas and approximation theoretic considerations.
Journal ArticleDOI
Video Super-Resolution Using Simultaneous Motion and Intensity Calculations
TL;DR: An energy-based algorithm for motion-compensated video super-resolution (VSR) targeted on upscaling of standard definition video to high-definition (HD) video, which outperforms other VSR methods when dealing with general video input and that it continues to provide good results even for large scaling factors up to 8 × 8.
Journal ArticleDOI
Mix column transform based on irreducible polynomial mathematics for color image steganography
TL;DR: A novel method for data hiding within transform domain of the color images based on dividing an image into blocks, then applying the proposed transform on specified blocks and hiding the secret message within those is presented.
References
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Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI
Nonlinear total variation based noise removal algorithms
TL;DR: In this article, a constrained optimization type of numerical algorithm for removing noise from images is presented, where the total variation of the image is minimized subject to constraints involving the statistics of the noise.
Journal ArticleDOI
Scale-space and edge detection using anisotropic diffusion
Pietro Perona,Jitendra Malik +1 more
TL;DR: A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
Proceedings ArticleDOI
Image inpainting
TL;DR: A novel algorithm for digital inpainting of still images that attempts to replicate the basic techniques used by professional restorators, and does not require the user to specify where the novel information comes from.
Book
Anisotropic diffusion in image processing
TL;DR: This work states that all scale-spaces fulllling a few fairly natural axioms are governed by parabolic PDEs with the original image as initial condition, which means that, if one image is brighter than another, then this order is preserved during the entire scale-space evolution.
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