CAJ | 학술논문

侧抑制网络具有突出图像边缘和轮廓、增强反差的作用,但是抗噪声性能差.为了既能增强图像,又具有较好抗噪性能,提出一种基于侧抑制网络和自适应滤波相结合的图像预处理算法,不仅突出了图像的轮廓,而且能根据图像的局部均值和方差以及噪声方差的不同,自适应地改变模型的参数来消除噪声.仿真结果表明,与传统的图像处理方法相比较,该方法在增强图像的同时能有效地消除噪声,具有较好的视觉效果.
측억제망락구유돌출도상변연화륜곽、증강반차적작용,단시항조성성능차.위료기능증강도상,우구유교호항조성능,제출일충기우측억제망락화자괄응려파상결합적도상예처리산법,불부돌출료도상적륜곽,이차능근거도상적국부균치화방차이급조성방차적불동,자괄응지개변모형적삼수래소제조성.방진결과표명,여전통적도상처리방법상비교,해방법재증강도상적동시능유효지소제조성,구유교호적시각효과.
The lateral inhibition network has the function of enhancing the contrast and outstanding the edge and the outline,but its anti-noise capability is poor.ln order to enhance the image with better anti-noise ability,this paper proposes a image pre-processing algorithm based on lateral inhibition and adaptive filter,which can not only outstands the image ' outline , but also elimi-nates the noise by adaptively changing the model parameters accordingly to the local image's mean,variance and the noise vari-ance.Compared with the traditional image processing method,the simulation results show this algorithm can both enhance the im-age and effectively eliminate the noise,with a better vision effect.