Proceedings ArticleDOI
An efficient 2-D jacobian iteration modeling for image interpolation
Ayush Kumar,Nimisha Agarwal,Juhi Bhadviya,Anil Kumar Tiwari +3 more
- pp 977-980
TLDR
Experimental results indicates that the proposed algorithm gives better quantitative performance as compared to other conventional interpolation techniques.Abstract:
This paper proposes a new interpolation approach for obtaining high resolution (HR) images from its low resolution (LR) images. We are using the Least Squared based block by block prediction scheme to estimate the predictors using Jacobian iteration method. In spite of Jacobian's Iterative property of convergence for diagonally dominant matrices only, our proposed method uses this property effectively for all types of matrices, and found a set of prediction coefficients using a small number of iterative steps. Due to its lesser computational cost it can be used in real time applications too. Use of iterative methods like Jacobi gives an advantage of its application over images which gives singular matrices during operation. Experimental results indicates that the proposed algorithm gives better quantitative performance as compared to other conventional interpolation techniques.read more
Citations
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Proceedings ArticleDOI
An adaptive distance-based edge preserving interpolation algorithm for natural images
TL;DR: A new image interpolation method using adaptive weights based on inverse gradients and distances from the pixels used in prediction, which allows preservation of important edge information and hence to prevent extensive blurring across edges in the upsampling process.
References
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Journal ArticleDOI
New edge-directed interpolation
Xin Li,Michael T. Orchard +1 more
TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
Journal ArticleDOI
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Tinku Acharya,Ping-Sing Tsai +1 more
TL;DR: The underlying computational foundations of all these algorithms and their implementation techniques are described and some experimental results are presented to show the impact of these algorithms in terms of image quality metrics and computational requirements for implementation.
Journal ArticleDOI
Computational foundations of image interpolation algorithms
AcharyaTinku,TsaiPing-Sing +1 more
TL;DR: Image interpolation is an important image processing operation applied in diverse areas ranging from computer graphics, rendering, editing, medical image reconstruction, to online image viewing.
Proceedings ArticleDOI
A low complex context adaptive image interpolation algorithm for real-time applications
TL;DR: This work has presented different set of fixed predictors for both smooth type and edgy type of images and proposed a modified algorithm in which selection of prediction parameter is done on block by block basis instead of image basis.
Proceedings ArticleDOI
Image interpolation by adaptive 2-D autoregressive modeling
TL;DR: The algorithm uses a piece-wise autoregressive (PAR) model to predict the unknown pixels of high resolution image and it is shown that subjective as well as objective quality of the high resolution (HR) images is same, on an average, as that of the competitive such method reported in literature.
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