An adaptive decision based kriging interpolation technique for the removal of high density
salt and pepper noise in images is proposed. The algorithm isolates the non noisy pixels …

In this day and age, digital images play a significant role in our day-to-day life. Digital
images are utilized in a wide range of fields like medical, business and more. Besides, the …

In this paper, we present an algorithm to remove Salt and Pepper noise from grayscale
images. It is an enhanced adaptive median filtering algorithm which initially calculates …

This paper presents an enhanced non-linear adaptive filtering technique for removing high
density salt-and-pepper noise from digital images. The proposed filtering technique …

This paper presents an efficient algorithm which can remove high density salt-and-pepper
noise from corrupted digital image. This technique differentiates between corrupted and …

In any image processing system denoising of images is an important step. The images can
be corrupted by different noises with different levels. There are three types of noises …

Although the traditional median filter and its available variants are usually able to remove
salt-and-pepper-noise, filter performances in terms of noise removal and retention of image …

In many applications, the received image is degraded by unknown blur and noise.
Traditional blind image deconvolution algorithms have drawback of noise amplification. For …

Many practical applications need to eliminate noise from noisy images. This paper first
introduce a simplified support vector regression (SSVR) method for single image denoising …

This paper presents an efficient algorithm which can remove high density salt-and-pepper
noise from corrupted digital image. This technique differentiates between corrupted and …