CAJ | 학술논문

针对传统基于全变分图像去噪中存在的阶梯效应问题，引入2个用于处理阶梯效应的检测算子，在此基础上，提出一种具有自适应特性的全变分图像去噪方法。实验证明，该方法在坡道图像和强噪声环境中表现出了良好的去噪能力，又有效地避免了阶梯效应的产生。
침대전통기우전변분도상거조중존재적계제효응문제，인입2개용우처리계제효응적검측산자，재차기출상，제출일충구유자괄응특성적전변분도상거조방법。실험증명，해방법재파도도상화강조성배경중표현출료량호적거조능력，우유효지피면료계제효응적산생。
Two detection operators for staircase effect in the traditional total variation image denoising are proposed in this paper.On this basis,it proposes an adaptive total variation image denoising methods. Experimental results show that this method displays a good image denoising capacity on ramp images and strong noise environment while avoiding the generation of staircase effect.