In this paper, we propose a novel depth upsampling method by residual interpolation (RI) that uses both a low-resolution depthmap and a high-resolution intensity image. Our method is an application of the RI to depth upsampling, where the upsampling is performed in a residual domain following its success in the field of image demosaicking. Experimental results demonstrate that our method preser...

Most digital cameras capture samples through a color filter array. At every pixel location, the camera observes one of either the red, green, or blue component. Demosaicking (or demosaicing) is the problem of using this incomplete information to estimate all three color components at every pixel. Zhang and Wu proposed an effective solution to this problem in “Color Demosaicking via Directional ...

Introduction: Digital cameras are the most popular image acquisition device. Images taken with a digital camera are usually downloaded on a personal computer (PC) where they are watermarked [1] for copyright protection and ownership authentication prior to storage and re-distribution. However, this way provides a space that attackers can utilise to violate intellectual property and ownership ri...

This project presents a low cost and high quality pipelined color demosaicking design using spurious power suppression technique. The main objective is to improve the quality of reconstructed images; a linear deviation compensation scheme was created to increase the correlation between the interpolated and neighboring pixels. Furthermore, immediately interpolated green color pixels are first to...

In natural steganography, the secret message is hidden by adding to the cover image a noise signal that mimics the heteroscedastic noise introduced naturally during acquisition. The method requires the cover image to be available in its RAW form (the sensor capture). To bring this idea closer to a practical embedding method, in this paper we embed the message in quantized DCT coefficients of a ...

In this paper we investigate ‘real-time’ watermarking of singlesensor digital camera images (often called ‘raw’ images) and blind watermark detection in demosaicked images. We describe the software-only implementation of simple additive spread-spectrum embedding in the firmware of a digital camera. For blind watermark detection, we develop a scheme which adaptively combines the polyphase compon...

Image demosaicking (or demosaicing) is the interpolation problem of estimating complete color information for an image that has been captured through a color filter array (CFA), particularly on the Bayer pattern. In this paper we review a simple linear method using 5 x 5 filters, proposed by Malvar, He, and Cutler in 2004, that shows surprisingly good results. Source Code The source code (ANSI ...

Most existing Digital Color Cameras use a Single -sensor with a color filter array (CFA) to capture images. The quality of demosaicked images is degraded due to the sensor noise introduced during the image acquisition process. The conventional solution to combating CFA sensor noise is demosaicking first, followed by a separate denoising processing. This strategy will generate many noise-caused ...

The local linear learned (L3) algorithm is presented that simultaneously performs the demosaicking, denoising, and color transform calculations of an image processing pipeline for a digital camera with any color filter array. © 2011 Optical Society of America OCIS codes: 040.1490, 100.2000.