摘要
增强图像的分辨率意味着在保持图像清晰度的情况下对图像进行放大。传统的分辨率增强技术是图像插值,它通常要求原始图像满足一定的平滑条件,这常常损失增强后图像的奇异性,使图像中物体边缘和纹理变得模糊。本文提出了一种基于图像多分辨率分析的增强算法,通过估计原始图像在更高一级分辨率上的小波系数,可以得到更为清晰的增强效果,同时保留原图像的奇异性。
One common task of image interpolation is to enhance the resolution of the image, which means to magnify the image without loss in its clarity. Traditional methods often assume that the original images are smooth enough so as to possess continues derivatives, which tend to make the edges of the interpolated image blurred and over-smoothed. We propose a novel image interpolation algorithm based on wavelet transform and multi-resolution analysis, which estimates the higher resolution information of the image and extrapolates a new sub-band of wavelet transform coefficients to get processed image with shaper edges and preserved singularities.
出处
《系统仿真学报》
CAS
CSCD
2004年第10期2172-2174,共3页
Journal of System Simulation
关键词
分辨率增强
二进小波变换
多尺度边缘
图像插值
image resolution enhancement
dyadic wavelet transform
multi-scale edges
image interpolation
