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Image Interpolator
"... In this paper we present an innovativeinterpolator which performs high quality N \Theta interpolation on both synthetic and real world images. Its structure, which is based on a rational operator, provides edge sensitive data interpolation, so that sharp and artifact free images are obtained. 1 INT ..."
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In this paper we present an innovativeinterpolator which performs high quality N \Theta interpolation on both synthetic and real world images. Its structure, which is based on a rational operator, provides edge sensitive data interpolation, so that sharp and artifact free images are obtained. 1
Image Interpolation
 PROCEEDINGS OF THE SIX INTERNATIONAL WORLD WIDE WEB CONFERENCE
, 1998
"... We discuss possible algorithms for interpolating data given in a set of curves and/or points in the plane. We propose a set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations. T ..."
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Cited by 1 (0 self)
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. The Absolute Minimal Lipschitz Extension model (AMLE) is singled out and studied in more detail. We show experiments suggesting a possible application, the restoration of images with poor dynamic range. We also analyse the problem of unsmooth interpolation and show how it permits a subsidiary variational
RegularityPreserving Image Interpolation
 IEEE Transactions on Image Processing
, 1997
"... Common image interpolation methods assume that the underlying signal is continuous and may require that it possess one or more continuous derivatives. These assumptions are not generally true of natural images, most of which have instantaneous luminance transitions at the boundaries between objects. ..."
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Cited by 59 (1 self)
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Common image interpolation methods assume that the underlying signal is continuous and may require that it possess one or more continuous derivatives. These assumptions are not generally true of natural images, most of which have instantaneous luminance transitions at the boundaries between objects
An Axiomatic Approach to Image Interpolation
, 1998
"... We discuss possible algorithms for interpolating data given in a set of curves and/or points in the plane. We propose a set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations. The ..."
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Cited by 126 (8 self)
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We discuss possible algorithms for interpolating data given in a set of curves and/or points in the plane. We propose a set of basic assumptions to be satisfied by the interpolation algorithms which lead to a set of models in terms of possibly degenerate elliptic partial differential equations
Image Interpolation Techniques Review
"... Abstract image interpolation is very interesting areaof research in image processing which consists of various processing tasks such as compression, restoration, denoising, enhancement. Reconstruction quality of any image interpolation algorithm depends on it’s ability to adapt changing pixel struc ..."
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Abstract image interpolation is very interesting areaof research in image processing which consists of various processing tasks such as compression, restoration, denoising, enhancement. Reconstruction quality of any image interpolation algorithm depends on it’s ability to adapt changing pixel
Edge Inference for Image Interpolation
"... Abstract — Image interpolation algorithms try to fit a function to a matrix of samples in a “naturallooking ” way. This paper presents edge inference, an algorthm that does this by mixing neural network regression with standard image interpolation techniques. Results on gray level images are presen ..."
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Cited by 1 (1 self)
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Abstract — Image interpolation algorithms try to fit a function to a matrix of samples in a “naturallooking ” way. This paper presents edge inference, an algorthm that does this by mixing neural network regression with standard image interpolation techniques. Results on gray level images
Image Interpolation and Resampling
 Handbook of Medical Imaging, Processing and Analysis
, 2000
"... Abstract—This chapter presents a survey of interpolation and resampling techniques in the context of exact, separable interpolation of regularly sampled data. In this context, the traditional view of interpolation is to represent an arbitrary continuous function as a discrete sum of weighted and shi ..."
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Cited by 80 (11 self)
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Abstract—This chapter presents a survey of interpolation and resampling techniques in the context of exact, separable interpolation of regularly sampled data. In this context, the traditional view of interpolation is to represent an arbitrary continuous function as a discrete sum of weighted
View Interpolation for Image Synthesis
"... Imagespace simplifications have been used to accelerate the calculation of computer graphic images since the dawn of visual simulation. Texture mapping has been used to provide a means by which images may themselves be used as display primitives. The work reported by this paper endeavors to carry t ..."
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Cited by 605 (0 self)
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this concept to its logical extreme by using interpolated images to portray threedimensional scenes. The specialeffects technique of morphing, which combines interpolation of texture maps and their shape, is applied to computing arbitrary intermediate frames from an array of prestored images. If the images
Mathematical Techniques for Image Interpolation
, 2005
"... We discuss the problem of interpolating visually acceptable images at a higher resolution. We first present the interpolation problem and why linear interpolation filters are inadequate for image data. To represent the major mathematical approaches to image processing, we discuss and evaluate five d ..."
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We discuss the problem of interpolating visually acceptable images at a higher resolution. We first present the interpolation problem and why linear interpolation filters are inadequate for image data. To represent the major mathematical approaches to image processing, we discuss and evaluate five
PDEBASED IMAGE INTERPOLATORS
"... We present a PDEbased interpolation algorithm to effectively reproduce high resolution imagery. Conventional PDEbased interpolation methods can produce sharp edges without checkerboard effects; however, they are approximators and tend to weaken fine structures. In order to overcome the drawback, ..."
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, a texture enhancement method is incorporated as a postprocess of PDEbased interpolation methods. The postprocess turns out to make the resulting algorithm an interpolator. It has been numerically verified that the resulting algorithm, called the PDEbased image interpolator (PII), restores sharp
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