The minimum cross entropy thresholding (MCET) has been widely applied in image processing. In this paper, a new multilevel MCET algorithm based on the artificial bee colony (ABC) algorithm is proposed. The proposed thresholding algorithm is called ABC-based MCET algorithm. Four different methods including the exhaustive search, the honey bee mating optimization (HBMO), the particle swarm optimi...

We propose iterative thresholding algorithms based on the iterated Tikhonov method for image deblurring problems. Our method is similar in idea to the modified linearized Bregman algorithm (MLBA) so is easy to implement. In order to obtain good restorations, MLBA requires an accurate estimate of the regularization parameter α which is hard to get in real applications. Based on previous results ...

In this article, a salt and pepper noise (SPN) removal method is proposed based on thresholding regularization techniques. The utilizes the ability to remove from an image denoising model Total Variation (TV) characteristics of SPN. First, technique characteristic SPN detect noisy pixels. Second, modified TV regularization-based applied restore above addition, numerical implementation Nesterov ...