计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2015年
1期
31-34,88
,共5页
双边滤波%图像融合%核函数%自适应%邻域
雙邊濾波%圖像融閤%覈函數%自適應%鄰域
쌍변려파%도상융합%핵함수%자괄응%린역
bilateral filter%image fusion%kernel function%adaptive%near field
提出一种彩色图像和近红外图像的融合算法，先给出一种改进核函数的双边滤波器，然后应用该双边滤波器和高斯滤波器相结合多次作用于彩色图像和近红外图像，得到低频图像、边缘图像、细节图像等不同尺度的图像，在不同尺度图像融合的权重选择上，提出一种自适应的权重选择法。该方法综合考虑参与融合的各像素点的邻域来确定各点权重，不仅抑制了融合图像噪声，还使融合图像色彩更贴近原彩色图像。实验表明该方法得到的融合图像具有符合人眼观测习惯的颜色信息，此外融合图像的纹理、边缘等细节信息比原彩色图像更丰富。
提齣一種綵色圖像和近紅外圖像的融閤算法，先給齣一種改進覈函數的雙邊濾波器，然後應用該雙邊濾波器和高斯濾波器相結閤多次作用于綵色圖像和近紅外圖像，得到低頻圖像、邊緣圖像、細節圖像等不同呎度的圖像，在不同呎度圖像融閤的權重選擇上，提齣一種自適應的權重選擇法。該方法綜閤攷慮參與融閤的各像素點的鄰域來確定各點權重，不僅抑製瞭融閤圖像譟聲，還使融閤圖像色綵更貼近原綵色圖像。實驗錶明該方法得到的融閤圖像具有符閤人眼觀測習慣的顏色信息，此外融閤圖像的紋理、邊緣等細節信息比原綵色圖像更豐富。
제출일충채색도상화근홍외도상적융합산법，선급출일충개진핵함수적쌍변려파기，연후응용해쌍변려파기화고사려파기상결합다차작용우채색도상화근홍외도상，득도저빈도상、변연도상、세절도상등불동척도적도상，재불동척도도상융합적권중선택상，제출일충자괄응적권중선택법。해방법종합고필삼여융합적각상소점적린역래학정각점권중，불부억제료융합도상조성，환사융합도상색채경첩근원채색도상。실험표명해방법득도적융합도상구유부합인안관측습관적안색신식，차외융합도상적문리、변연등세절신식비원채색도상경봉부。
This paper proposes a fusion algorithm for the color image and near infrared image. Firstly, a bilateral filter is proposed which has an improve kernel function. Secondly this scheme implements bilateral filter and Gauss filter for color image and near infrared image, to get multi-scales images, for example the low-frequency image, detail image, edge image. Thirdly, an adaptive weight selection method is proposed when different scale images are incorporated. The method con-siders the neighborhood of each pixel which is used to fusion, when images are combined. It makes the fusion images to reduce noises and color of the fusion image to be closer to the original image. The experiments show the obtaining fusion image has color information which accords with human observations habits. Otherwise, its information of the texture, edge details is more abundant than the original color.
