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《Acta Photonica Sinica》 2017-07
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Curvature Filter and Gradient Transform Based Image Enhancement

CHENG Kuan-hong;ZHOU Hui-xin;QIN Han-lin;YIN Shi-min;QIAN Kun;ZHAO Dong;RONG Sheng-hui;School of Physics and Optoeletronic Engineering,Xidian University;School of Life and Environmental Sciences,Guilin University of Electronic Technology;  
For the noise amplification problem during gradient transform based image enhancement,an improved algorithm combined with Gaussian curvature filter was proposed.First,the nonlinear gradient transformation is utilized for image gradient field to enhance the contrast.Then the enhanced image is reconstructed by minimizing an energy functional through gradient descent method.During iteration of gradient descent,the reconstructed image and its first and second derivatives are smoothed by Gaussian curvature filter,which can solve the promblems of nonlinear amplification and diffusion of noise in image reconstruction and preserve details.The experimental results with various images show the proposed algorithm can effectively suppress noises and enhance the image edges contrast at the same time.
【Key Words】: Image enhancement Image reconstruction Variational techniques Noise suppression Gaussian curvature filter Image filtering Nonlinear transfer function
【Fund】: 国家自然科学基金(Nos.61401343 61675160);; 国家高技术研究发展计划(No.2014AA8098089C);; 中科院光谱成像技术重点实验室开放基金(No.LSIT201503);; 高等学校学科创新引智计划(“111引智计划”)(No.B17035)资助~~
【CateGory Index】: TP391.41
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