Optimally Determined Modified Bayer Color Array for Imagery

2013 ◽  
Vol 717 ◽  
pp. 501-505 ◽  
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Digital Camera ◽  
Color Filter ◽  
Color Information ◽  
Full Color ◽  
Bayer Pattern ◽  
Filter Array ◽  
Color Interpolation ◽  
Simulation Results ◽  
Different Color ◽  
Blue Pixel

This paper introduced a problem of the modified Bayer pattern color filter array (CFA). A demosaicking method is also known as color interpolation, which is a digital camera process employed to restore a full-color imagery from an image with missing color information. In general, a CFA pair contains two green pixels and one red and blue pixel (RGGB). However, there exist alternatives such as RRGB or RGBB. In this paper, we study the effect of three different color arrays. Simulation results show that the obtained filters give good performance.

Efficient Color Configurations for Sensors

2013 ◽  
Vol 705 ◽  
pp. 319-322
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Performance Comparison ◽  
Color Filter ◽  
Single Pair ◽  
Digital Cameras ◽  
Color Information ◽  
Filter Array ◽  
Single Sensor ◽  
Color Interpolation ◽  
Single Pixel ◽  
Blue Pixel

mageries are acquired by digital cameras using a single sensor covered with a color filter array (CFA). The most generally employed CFA pattern is Bayer CFA. Therefore in the acquired CFA imagery, each pixel includes only one of three colors: they are red, green, and blue. This CFA color interpolation methods reconstruct losing color information of the other two primary colors for every single pixel. In a single pair of Bayer CFA, there are two green pixels and one red pixel and one blue pixel. In this paper, we interchanged green pixel with other colors. The performance comparison is shown in Experimental results section.

Designing and Performance Assessment for Sensor Color Interpolation

2013 ◽  
Vol 705 ◽  
pp. 307-312
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Digital Camera ◽  
Visual Quality ◽  
Color Filter ◽  
Filter Array ◽  
Opposite Process ◽  
Color Spectrum ◽  
Color Restoration ◽  
Color Interpolation ◽  
Simulation Results ◽  
And Performance

This paper addresses the problem of color restoration on Lukac color filter array (CFA) pattern [. Digital camera acquires the continuous color spectrum using three filters. However, each pixel indicates only a sample out of three channels. This order is called a mosaicking and the opposite process is called demosaicking. This article designs filters for Lukac CFA, and apply it to generate demosaicked images. The objective (CPSNR and S-CIELAB) and visual quality comparison are provided in simulation results section.

Performance Analysis on Yamanaka Patterned Color Filter Array

2013 ◽  
Vol 717 ◽  
pp. 497-500
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Performance Analysis ◽  
Digital Camera ◽  
Color Filter ◽  
Color Information ◽  
Color Filter Array ◽  
Imaging Device ◽  
Full Resolution ◽  
Filter Array ◽  
Cmos Sensor ◽  
Simulation Results

Generally, a digital camera employs a single CCD or CMOS sensor. In a color imaging device, the color information is usually obtained in sub-sampled patterns of red, green and blue pixels. Thus, full-resolution color is afterward created from this sub-sampled CFA image. This process is normally called as demosaicking. In this paper, we analyze performance of Yamanaka patterned CFA in terms of CPSNR and S-CIELAB. We show the simulation results on test images.

Filter Design for Diagonal Stripe Patterned Color Filter Array

2013 ◽  
Vol 718-720 ◽  
pp. 2370-2375 ◽  
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Filter Design ◽  
Visual Quality ◽  
Color Filter ◽  
Color Filter Array ◽  
Filter Array ◽  
Objective Performance ◽  
Color Interpolation ◽  
Simulation Results ◽  
Visual Assessments

An issue of diagonal stripe patterned color filter array (CFA) is introduced in this paper. This is a procedure known as color interpolation, aka demosaicking. Both of objective and visual assessments are researched, and the simulation results are shown in the paper. It was found that our proposed filter yields good objective performance with excellent visual quality.

A Research on X-Trans Patterned CMOS

2013 ◽  
Vol 705 ◽  
pp. 313-318
Author(s):  
Gwang Gil Jeon
Keyword(s):  
Spatial Resolution ◽  
Digital Camera ◽  
Super Resolution ◽  
Experimental Results ◽  
Color Filter ◽  
Color Filter Array ◽  
Bayer Pattern ◽  
Filter Array

In the last two decades, super-resolution and demosaicking have been researched actively. Generally, digital camera suffers from both color filtering and low spatial resolution. Therefore it is worth studying above issues. In this paper, we design filters to conduct super-resolution for digital camera. Bayer pattern has been widely used in digital camera. In this paper, we conduct experiments on X-Trans color filter array (CFA) pattern. Experimental results confirm that the proposed filters are effective for solving demosaicking issues.

Image Quality Evaluation on Modified Bayer CFA

2013 ◽  
Vol 718-720 ◽  
pp. 2050-2054 ◽  
Author(s):  
Gwang Gil Jeon
Keyword(s):  
High Performance ◽  
Quality Evaluation ◽  
Color Image ◽  
Color Filter ◽  
Interpolation Algorithm ◽  
Digital Cameras ◽  
Full Color ◽  
Filter Array ◽  
Color Interpolation ◽  
Almost All

Almost all digital cameras adopt a color filter array to acquire images and requesting a demosaicking process of the sub-sampled color components to have the full color image. Thus, it is necessary to restore the CFA image correctly. Otherwise, perceptible color errors are presented. This paper proposes a color interpolation algorithm based on filter. The CFA we used is modified Bayer CFA. Simulation results show that the proposed method is effective and yield high performance in CPSNR and S-CIELAB.

scholarly journals Comparison of Denoising Algorithms for Demosacing Low Lighting Images Using CFA 2.0

2020 ◽  
Vol 11 (5) ◽  
pp. 37-60
Author(s):  
Chiman Kwan ◽  
Jude Larkin
Keyword(s):  
Deep Learning ◽  
Image Quality ◽  
Poisson Noise ◽  
Color Filter ◽  
Digital Cameras ◽  
Critical Step ◽  
Lighting Conditions ◽  
Bayer Pattern ◽  
Filter Array ◽  
The Impact

In modern digital cameras, the Bayer color filter array (CFA) has been widely used. It is also widely known as CFA 1.0. However, Bayer pattern is inferior to the red-green-blue-white (RGBW) pattern, which is also known as CFA 2.0, in low lighting conditions in which Poisson noise is present. It is well known that demosaicing algorithms cannot effectively deal with Poisson noise and additional denoising is needed in order to improve the image quality. In this paper, we propose to evaluate various conventional and deep learning based denoising algorithms for CFA 2.0 in low lighting conditions. We will also investigate the impact of the location of denoising, which refers to whether the denoising is done before or after a critical step of demosaicing. Extensive experiments show that some denoising algorithms can indeed improve the image quality in low lighting conditions. We also noticed that the location of denoising plays an important role in the overall demosaicing performance.

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