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Most digital cameras use color filter arrays of different patterns to capture color image. The output of the color filter array is a sampled version of the original color image. Demosaicing algorithms are used to reconstruct the original color image from this sampled version. Medical image analysis is increasing day by day. The amount of data to be saved is also on the increase. Standard compression...
Recently, there has been an explosion in the design of color filter arrays (CFA). While CFAs used to be based on red, green and blue primary colors, there is also a trend for the design of CFAs that use non-RGB colors. Also, some demosaicing algorithms are now proposed that not only work for the popular Bayer CFA, but also for various types of CFAs. In this paper, we propose an approach for performing...
The fabrication process for today's digital cameras will inevitably produce some defective pixels in those mega-pixel image sensors. In the manufacturing process, these defective pixels, known as bad pixels, will normally be mapped out. However, more bad pixels could appear over time with camera usage, and some would only appear on a long exposure and/or at high ISO settings. It is therefore not desirable...
This paper presents a novel 2D-TO-3D conversion approach from a monoscopic 2D image sequence. We propose a particle filter framework for recursive recovery of point-wise depth from feature correspondences matched through image sequences. We formulate a novel 2D dynamics model for recursive depth estimation with the combination of camera model, structure model and translation model. The proposed method...
As resolution for displays is recently more and more increasing, the amount of data and calculation that graphic hardware needs to process are also increasing. Especially the amount of data processing by Rasterizer is rapidly increasing. This paper used an algorism using coordinates in center of gravity and area for triangle instead of using bilinear algorism [1] used by conventional interpolation,...
Image interpolation is an important basic digital image processing technology. In order to make image identify more easily, this paper did further research and improvement of the interpolation algorithm based on edge detection and interpolation algorithm based on threshold control.
The advent of low cost infrared structured light cameras (such as MS Xbox Kinect sensors) has brought the need for effective denoising algorithms that improves the quality and the accuracy of the reconstructed 3D scene. The overall noise depends on diverse factors and leads to significant alterations on object borders in the depth signal. It is possible to exploit a color signal acquired by a standard...
Current digital video pipelines are progressing towards ever higher image resolutions and frame rates, a trend which increases computational requirements of mobile end-user devices. Moreover, due to the wide variety of devices with display sub-systems, video streams often need to be adapted to the capabilities of the respective platform. In this work, we present a rendering core that is able to perform...
This paper presents a system for producing multiperspective panoramas for long scenes from dense collections of images. Multi-perspective panoramas are generated by combining different perspectives, including original and novel perspectives. The latter are rendered by our synthesis algorithm, which uses estimated depth information to remove distortions caused by depth parallax. Then, different perspectives...
Color demosaicking is well known as an ill-posed problem of sensor image restoration. In this paper, a self-validation framework for color demosaicking is proposed. In the proposed self-validation framework, multiple algorithms under different hypotheses will be performed to generate multiple candidates. Then the final estimation of a missing color sample will be decided by evaluating the local consistency...
Most CFA (color filter array) interpolation-based digital image forensic methods characterize inter-pixel relationship with a linear model and use the estimated interpolation coefficients as features for image source camera identification. However, various CFA models and interpolation algorithms must be tried for coefficient estimation during the detection process in that the CFA pattern of an image...
Image demosaicing algorithms are used to reconstruct a full color image from the incomplete color samples output (RAW data) of an image sensor overlaid with a Color Filter Array (CFA). Better demosaicing algorithms are superior in terms of acuity, dynamic range, signal to noise ratio, and artifact suppression, which make them suitable for high quality delivery such as theatrical broadcast. In this...
Fragment shaders in a graphics pipeline are used to compute the color for each pixel, where lighting, texture loading, and other calculations are involved. The required computing power is proportional to the number of input fragments. In order to improve the power efficiency of mobile GPUs, a content adaptive sampling scheme is proposed to reduce the fragments. The proposed scheme is based on tile-based...
In this paper, an oil exploration software is designed, introduced and implementation. The software is based on the procedures of oil exploration and seismic prospecting. In the environment of Microsoft Visual Studio 2008 with the C++ programming language, the standard SEG-Y seismic data is successfully transferred into visible geological sectional view and histogram chart, which makes the geologists...
How to manufacture a low-cost digital still camera (DSC) that can meanwhile provide a good image quality is always an engineering challenge. For this purpose, the color filter array (CFA) is perhaps the most commonly used structure for modern DSCs. However, since most of the color information is filtered out, a good interpolation process is required to retrieve the original image. Many interpolation...
Sensor clipping destroys the hue of colored highlight regions by misrepresenting the relative magnitude of the color channels. This becomes particularly noticeable in regions with brightly colored light sources or specularities. We present a simple yet effective gradient-space color restoration algorithm for recovering the hue in such image regions. First, we estimate a smooth distribution of the...
Modelling 3D stratum surface is difficult because the number of exploratory holes is usually too small. As an attempt to solve this problem, many interpolation methods were proposed to estimate the surface between the holes. In this paper, we propose an approach to interpolate 3D spatial points and model stratum surface. The curvature of the original surface mesh is embedded into kriging interpolation...
Single-sensor digital cameras capture image by covering the sensor surface with a color filter array(CFA) such that each sensor pixel only samples one of three primary color values,three color is R(red),G(green) and B(blue). To render a full-color image, need an interpolation process commonly referred to as CFA demosaicking, is required to estimate the other two contributions for producing a full-color...
This paper presents a color interpolation processor for color-filter-array (CFA) based image sensor. We propose a modified color difference spaces interpolation method by using direction determination. Simulations show that the proposed method can achieve better quality-complexity tradeoff than other algorithms. For real-time VLSI implementation, a cost-effective architecture consisting of pipeline...
A new color image encryption method using multiple-order discrete fractional Fourier transform (MODFrFT) and chaotic scramble is proposed. A color image is converted from the standard RGB space into the YCbCr space and the complex number mode featured as a real part and an imaginary one is used in this encryption method to alleviate the transmission load. Human vision is more sensitive to the Y component...
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