Although most demosaicking methods assume the existence of high local correlation in estimating the missing color components, such an assumption may fail for images with high color saturation and sharp color transitions. This paper presents a demosaicking scheme by exploiting both the variance of color differences (VCD) and the non-local similarity. First, the missing green components are estim...

Denoising and demosaicking are essential yet correlated steps to reconstruct a full color image from the raw filter array (CFA) data. By learning deep convolutional neural network (CNN), significant progress has been achieved perform denoising jointly. However, most existing CNN-based joint (JDD) methods work on single while assuming additive white Gaussian noise, which limits their performance...

Spatial resolution of digital images are limited due to optical/sensor blurring and sensor site density. In single-chip digital cameras, the resolution is further degraded because such devices use a color filter array to capture only one spectral component at a pixel location. The process of estimating the missing two color values at each pixel location is known as demosaicking. Demosaicking me...

A common workflow in digital photography involves viewing high resolution images on LCD displays either computer monitors or camera viewfinders. To minimise cost and complexity, most cameras use a single sensor overlaid with a Bayer filter to selectively sample various wavelengths at interleaved locations. Missing data must then be interpolated, which is known to introduce artefacts. In order t...

Image forgery identification assumes a fundamental part in criminological science, the vast majority of the created strategies are concentrating on coarse grained fabrication restriction. In this paper, we introduce forgery detection method based on artifacts obtained by Color Filter Array (CFA) which are used in most digital cameras. Here we make the assumption that forgery removes the artifac...

Until recently, those deep steganalyzers in spatial domain are all designed for gray-scale images. In this paper, we propose WISERNet (the wider separate-then-reunion network) for steganalysis of color images. We provide theoretical rationale to claim that the summation in normal convolution is one sort of “linear collusion attack” which reserves strong correlated patterns while impairs uncorre...

Color-filter-array demosaicking is an essential step in rendering full color images from single-sensor digital cameras. Because each pixel only records one color value, estimates of the missing color information at each pixel must be made. In this paper, extrapolation equations based on higher orders of the Taylor series are proposed for accurate, direction-oriented estimations of missing color...

Demosaicing is a process of obtaining a full color image by interpolating the missing colors of an image captured from a digital still and video cameras that use a single-sensor array.The edges are not handled properly in the existing demosaicking methods. This study provides an effective demosaicing algorithm applying an adaptive weighted-edge interpolation to handle green pixels. Due to the i...