Deep image denoising networks have achieved impressive success with the help of a considerably large number synthetic train datasets. However, real-world is still challenging problem due to dissimilarity between distributions real and noisy Although several datasets been presented, (i.e., pairs clean images) limited, acquiring more noise laborious expensive. To mitigate this problem, numerous a...

Median filter is the most common method of clearing image noise. This paper proposes improved algorithm of median filter to remove sale and pepper noise of image. According to the characteristics of salt and pepper noise, the algorithm detects image noise, and establishes noise marked matrix, without processing the pixels marked as signal. The signal of the pixel is marked as not treated, label...

Indus Institute of Engineering and Technology Kinana, Haryana, India _______________________________________________________________________________________ Abstract: Encryption technology is an important measure to ensure the security of digital image, this paper's main purpose is to research how to encrypt images by chaos. In this paper, five chaotic maps are compared and noise effects are ob...

This paper presents a new approach to noise reduction and contrast enhancement for different types of medical images. An anisotropic scheme is used to iteratively reduce noise as well as to define image regions and enhance region contrast. The process is performed in three stages and the final values of the regions are automatically extracted from the image histogram, thus providing a fast meth...

Image enhancement is a technique to improve the quality of an image. The aim of image enhancement technique is to improve the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques. This paper presents a fuzzy grayscale enhancement technique for low contrast image corrupted by Gaussian noise. The degr...