微型机与应用
微型機與應用
미형궤여응용
MICROCOMPUTER & ITS APPLICATIONS
2014年
9期
36-38,41
,共4页
频域变换%图像降噪%高斯噪声%局部纹理
頻域變換%圖像降譟%高斯譟聲%跼部紋理
빈역변환%도상강조%고사조성%국부문리
frequency transform%image denoising%Gauss noise%local texture
通过对图像时域和频域的分析发现,图像的边缘在垂直于梯度的方向呈现高频特性,而在平行于梯度的方向呈现低频特性,因此,设计一种基于频域的局部纹理保留方法,很好地保留了边缘信息,同时能够很好地滤除高斯噪声。
通過對圖像時域和頻域的分析髮現,圖像的邊緣在垂直于梯度的方嚮呈現高頻特性,而在平行于梯度的方嚮呈現低頻特性,因此,設計一種基于頻域的跼部紋理保留方法,很好地保留瞭邊緣信息,同時能夠很好地濾除高斯譟聲。
통과대도상시역화빈역적분석발현,도상적변연재수직우제도적방향정현고빈특성,이재평행우제도적방향정현저빈특성,인차,설계일충기우빈역적국부문리보류방법,흔호지보류료변연신식,동시능구흔호지려제고사조성。
Based on the analysis of time domain and frequency domain of the image, the image edge is found in high frequency characteristics of perpendicular to the gradient direction, and in parallel to the gradient direction of low-frequency characteristics. Therefore, this paper designs a method of preserving local texture based on frequency domain, which preserves the edge information, and can remove Guass noise very well.