Endoscopic image restoration using truncated constrained least squares filter in frequency-domain and SURE-LET filter

Smit Trambadia, Hemant Mayatra
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Abstract

T-CLS (Truncated Constrained Least Squares) filter is designed with Maxwell-Boltzmann distribution kernel in a frequency domain and hybridized with an SURE-LET algorithm for an effective restoration of degraded Endoscopic image. T-CLS filter successfully reduces degradation and the SURE-LET algorithm reduces Random noise in Endoscopic image. The proposed method provides advantages of reduction in Gradient reversal artifacts and Halos effect to a great extent in Endoscopic image. Experimental results show that the proposed method improves image quality parameters like PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error) and SSIM (Structure Similarity Index Measurement) as compared to conventional methods.
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基于截断约束最小二乘频域滤波器和SURE-LET滤波器的内镜图像恢复
T-CLS (Truncated Constrained Least Squares,截断约束最小二乘)滤波器采用频率域麦克斯韦-玻尔兹曼分布核,并与SURE-LET算法相结合,实现了对退化内镜图像的有效恢复。T-CLS滤波成功地降低了图像的退化,SURE-LET算法降低了内镜图像中的随机噪声。该方法在很大程度上减少了内窥镜图像中的梯度反转伪影和光晕效应。实验结果表明,与传统方法相比,该方法提高了PSNR(峰值信噪比)、MSE(均方误差)和SSIM(结构相似指数测量)等图像质量参数。
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