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...

Digital images are playing a key role but while transmitting the image more disturbances are produced by the noise which corrupts the image. Denoising leads to good quality image and restoration of original information. To achieve denoising, various noise models are referred based on additive and multiplicative type also. Some are Gaussian noise, salt & pepper noise, speckle noise and Quantizat...

Problem of impulse noise reduction is a very well studied problem in image processing community and many different approaches have been proposed to tackle this problem. In the current work, the problem of fixed value impulse noise (salt and pepper) removal from images is investigated by use of a Markov Random Field (MRF) models with smoothness priors. After the formulation of the problem as an ...

Visual enhancement techniques provide different approaches for improving visual quality of displays under Low backlight conditions for saving the battery. The existing techniques provide the visual quality may be for noise free images only. This method proposes an algorithm that provides the visual quality for both images and display of systems even the images are corrupted with the noise under...

The digital watermarking provides the protection against the digital data copying, proceeding distributing among the unauthorized users using easily available software. This paper gives the comparative analysis of digital image watermarking in frequency domain. The parameters used to test the robustness and transparency of the watermarking algorithm are Normalized crosscorrelation coefficient (...