计算机工程与设计
計算機工程與設計
계산궤공정여설계
COMPUTER ENGINEERING AND DESIGN
2014年
7期
2467-2470
,共4页
锐化算法%梯度%局部复杂度%局部方差%增益函数
銳化算法%梯度%跼部複雜度%跼部方差%增益函數
예화산법%제도%국부복잡도%국부방차%증익함수
sharpening algorithm%gradient%local complexity%local variance%gain function
为解决传统的锐化算法对噪声敏感，易在强边缘处产生伪影效应，且对灰度变化较小的微弱细节锐度不足的问题，提出了一种基于图像局部复杂度和方差的自适应图像锐化算法。考虑了图像局部灰度变化的频率和强度，针对图像灰度剧变区和级别丰富区，应用图像局部复杂度和方差自适应调节增益函数，在背景噪声与原图一致的情况下，有效提升了图像中弱边缘和纹理细节的表现力。仿真结果表明，该算法处理后的图像边缘突出，纹理清晰，较好抑制了伪影的产生和背景噪声的放大。
為解決傳統的銳化算法對譟聲敏感，易在彊邊緣處產生偽影效應，且對灰度變化較小的微弱細節銳度不足的問題，提齣瞭一種基于圖像跼部複雜度和方差的自適應圖像銳化算法。攷慮瞭圖像跼部灰度變化的頻率和彊度，針對圖像灰度劇變區和級彆豐富區，應用圖像跼部複雜度和方差自適應調節增益函數，在揹景譟聲與原圖一緻的情況下，有效提升瞭圖像中弱邊緣和紋理細節的錶現力。倣真結果錶明，該算法處理後的圖像邊緣突齣，紋理清晰，較好抑製瞭偽影的產生和揹景譟聲的放大。
위해결전통적예화산법대조성민감，역재강변연처산생위영효응，차대회도변화교소적미약세절예도불족적문제，제출료일충기우도상국부복잡도화방차적자괄응도상예화산법。고필료도상국부회도변화적빈솔화강도，침대도상회도극변구화급별봉부구，응용도상국부복잡도화방차자괄응조절증익함수，재배경조성여원도일치적정황하，유효제승료도상중약변연화문리세절적표현력。방진결과표명，해산법처리후적도상변연돌출，문리청석，교호억제료위영적산생화배경조성적방대。
To address the problem that traditional sharpening algorithm was sensitive to noise and easy to suffer from artifact effects on strong edges,and its acutance was insufficient for weak details,a novel adaptive image sharpening algorithm based on local complexity and variance was proposed.The algorithm considered both the frequency and intensity of image gray value.For the regions in image where gray value was rich or changed intensely,local complexity and variance were adopted to dynamically control gain function,so as to effectively improve the weak edges or texture details of image when the overall background noise was consistent with the original image.Results of the simulation indicated that the enhanced image had clear edges and textures, and it could effectively restrain the artifacts and amplification of background noise.
