一种基于组合方向核的图像重采样方法

2016 6th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2016-10-01 DOI:10.1109/EUVIP.2016.7764602

A. Nasonov, A. Krylov, Konstantin Chesnakov

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引用次数: 1

摘要

提出了一种新的边缘定向图像重采样方法。该方法使用两个自适应4x4插值核的加权和来构建高分辨率像素。根据每个像素的局部梯度特征选择权重。利用从LIVE图像数据库中获取的低分辨率和高分辨率图像对学习插值核。该方法具有低复杂度和低内存消耗的特点。它优于现有的快速边缘方向图像插值方法。

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An image resampling method using combined directional kernels

A new edge-directional image resampling method is proposed. The method uses a weighted sum of two adaptive 4x4 interpolation kernels to construct high-resolution pixels. The weights are chosen according to the local gradient features for each pixel. The interpolation kernels are learned using pairs of low- and high-resolution images taken from LIVE image database. The method has low complexity and low memory consumption. It outperforms existing fast edge-directional image interpolation methods.

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2016 6th European Workshop on Visual Information Processing (EUVIP)

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