An efficient directional image interpolation method

Lu, Xiqun; Hong, P.S.; Smith, M.J.T.

doi:10.1109/icassp.2003.1199116

Cited by 9 publications

(1 citation statement)

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“…Because the characteristics of the edges in a digital image can be reserved for many scales of resolution and the edges are always important for human vision, most of the nonlinear interpolation algorithms tend to focus on the edge information. In edge preserving interpolation methods [6][7][8][9][10][11], the local edge structure of the original image is preserved to prevent the blurring and blocking effects. These techniques determine the edge localization or classification by exploiting an edge fitting technique within small overlapping windows of the original image.…”

Section: Introductionmentioning

confidence: 99%

Wavelet-based image interpolation using multilayer perceptrons

Huang

2004

Neural Comput & Applic

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Changing the resolution of digital images and video is needed image processing systems. In this paper, we present nonlinear interpolation schemes for still image resolution enhancement. The proposed neural network interpolation method is based on wavelet reconstruction. With the wavelet decomposition, the image signals can be divided into several time-frequency portions. In this work, the wavelet decomposition signal is used to train the neural networks. The pixels in the lowresolution image are used as the input signal of the neural network to estimate all the wavelet sub-images of the corresponding high-resolution image. The image of increased resolution is finally produced by the synthesis procedure of wavelet transform. In the simulation, the proposed method obtains much better performance than other traditional methods. Moreover, the easy implementation and high flexibility of the proposed algorithm also make it applicable to various other related problems.

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Section: Introductionmentioning

confidence: 99%

Wavelet-based image interpolation using multilayer perceptrons

Huang

2004

Neural Comput & Applic

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The Quantitative Analysis of Color Reproduction Based on Interpolation Arithmetic

Wang

Dai

Zhang

2009

2009 2nd International Congress on Image and Signal Processing

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In modern digital image reproduction field, interpolation arithmetic plays an important role in image conversion and its efficiency directly affects the image reproduction accuracy. In this paper, we choose four typical colorful images represent gradient, shadow tone, midtone and light tone respectively. Different interpolation methods have been applied on these four images to measure the different influences when the images are rotated. We mainly research the relationship among different kinds of interpolation arithmetic and the changes on the images' color. Several interesting phenomena are got and some valuable conclusions are obtained from the experiments.

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Image sharpening algorithm based on a variety of interpolation methods

LIRui

LvQiong

2012

2012 International Conference on Image Analysis and Signal Processing

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An efficient directional image interpolation method

Cited by 9 publications

References 9 publications

Wavelet-based image interpolation using multilayer perceptrons

Wavelet-based image interpolation using multilayer perceptrons

The Quantitative Analysis of Color Reproduction Based on Interpolation Arithmetic

Image sharpening algorithm based on a variety of interpolation methods

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