In this paper, a robust statistics based filter to remove salt and pepper noise in digital images is presented. The function of the algorithm is to detect the corrupted pixels first since the impulse noise only affect certain pixels in the image and the remaining pixels are uncorrupted. The corrupted pixels are replaced by an estimated value using the proposed robust statistics based filter. Th...

Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. This paper represents a robust statistics based filter to remove salt and pepper noise in digital images. The function of the...

a critical protection requirement for grid connected distributed generators (dg) is anti-islanding protection. in this paper, a new islanding detection method for any possible network loading is proposed based on utilizing and combining various system parameter indices. in order to secure the detection of islanding, eight intentional disturbances are imposed to the system under study in which t...

This paper presents a fast and easy method to implement denoising of ultrasound images. One of the very important tasks in the field of image processing is the removal of noise from an image. Noise may arise in the process of image acquisition, its transmission and also in the reproduction of an image. There are several approaches regarding the task of denoising, depending on the nature of the ...

Face detection has many applications in the field of digital image processing like face recognition, face analysis etc. Various techniques have been proposed so far to detect faces in images by different researchers. This paper presents a noble face detection algorithm which integrates the adaptive segmentation and hybrid median filter to improve the performance of face detection algorithms. Si...

This research work presents a simple, yet efficient way to remove noise from digital images. The method comprises three phases: the first phase is to detect the noise in the image. In this phase, based on only the intensity values, the pixels are roughly divided into two classes, which are “noise-free pixel” and “noise pixel”. Then, the second phase is to remove the impulse noise from the image...