Stego-images are often contaminated by interchannel noise or active attack when communicating on the Web. And it is challenging to restore embedded image from corrupted stego-image. This paper studies a k NN-bit approximation algorithm remove noises in image. The proposed distinguishes reliable bits extracted bits, and estimates pixel values keeping unchanged correcting unreliable bits. ...

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. Image noise removal involves the manipulation of the image data to produce a visually high quality image. This paper reviews ...

A noise is introduced in the transmission medium due to a noisy channel, errors during the measurement process and during quantization of the data. For digital storage each element in the imaging chain such as lenses, film, digitizer, etc. contributes to the degradation. Image noise removal is often used in the field of photography or publishing where an image was somehow degraded but needs to ...

Image deblurring and denoising are the fundamental problems generally arise in the field of image processing with several applications. This paper presents both areas of image restoration. Image deblurring and denoising methods are most commonly designed for removal of both impulsive noise and Gaussian noise. Impulsive noise is a most common noise which affects the image quality during image ac...

Poisson noise removal is of significant importance for many applications such as spectral imaging, night vision and especially in medical imaging and astronomy. Gaussian scale mixture based methods have been widely used in image denoising. In this paper, we focus on the Poisson noise and propose a new strategy based on Bayesian least squares method for its removal. We begin with a method that r...

This paper evaluates the impact of removing random noise of radiance data using a spectral-spatial smoothing approach on data compression onboard a hyperspectral satellite. A datacube acquired using a Short Wave Infrared Full Spectrum Imager II for target detection application of hyperspectral data was tested. The impact was evaluated using both the statistical based measures and a remote sensi...