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.

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.

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.

scholarly journals An Acquisition Method for Visible and Near Infrared Images from Single CMYG Color Filter Array-Based Sensor

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5578
Author(s):  
Younghyeon Park ◽  
Byeungwoo Jeon
Keyword(s):  
Near Infrared ◽  
Imaging System ◽  
Color Filter ◽  
Visible Range ◽  
Signal Acquisition ◽  
Separation Performance ◽  
Color Filter Array ◽  
Imaging Device ◽  
Filter Array ◽  
Acquisition Method

Near-infrared (NIR) images are very useful in many image processing applications, including banknote recognition, vein detection, and surveillance, to name a few. To acquire the NIR image together with visible range signals, an imaging device should be able to simultaneously capture NIR and visible range images. An implementation of such a system having separate sensors for NIR and visible light has practical shortcomings due to its size and hardware cost. To overcome this, a single sensor-based acquisition method is investigated in this paper. The proposed imaging system is equipped with a conventional color filter array of cyan, magenta, yellow, and green, and achieves signal separation by applying a proposed separation matrix which is derived by mathematical modeling of the signal acquisition structure. The elements of the separation matrix are calculated through color space conversion and experimental data. Subsequently, an additional denoising process is implemented to enhance the quality of the separated images. Experimental results show that the proposed method successfully separates the acquired mixed image of visible and near-infrared signals into individual red, green, and blue (RGB) and NIR images. The separation performance of the proposed method is compared to that of related work in terms of the average peak-signal-to-noise-ratio (PSNR) and color distance. The proposed method attains average PSNR value of 37.04 and 33.29 dB, respectively for the separated RGB and NIR images, which is respectively 6.72 and 2.55 dB higher than the work used for comparison.

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.

scholarly journals An Enhanced Lossless Color Filter Array Image Compression Based On Predictive Adaptive Arithmetic Coding

2015 ◽  
Vol 4 (1) ◽  
pp. 24
Author(s):  
L.M. Varalakshmi ◽  
R. Sowmiya
Keyword(s):  
Arithmetic Coding ◽  
Color Filter ◽  
Digital Cameras ◽  
Single Image ◽  
Color Information ◽  
Color Filter Array ◽  
Prediction Scheme ◽  
Filter Array ◽  
Adaptive Arithmetic Coding ◽  
Hierarchical Scheme

Most consumer digital cameras use a single image light sensor which provides color information using color filter array(CFA).This  provided a mosaic images, in which each pixel position contains only one color component in case of Bayer CFA Pattern. This paper produced a CFA hierarchical prediction scheme based on context adaptive coding. In CFA hierarchical scheme, the green pixels were subdivided into two sets .  was encoded by a gray scale conventional method and  was  predicted based on . The red pixels were predicted using both the sets of green pixels and blue pixels were predicted using red and green. The predictors were designed based on direction of the edges in the neighborhood. Using the prediction information, the magnitude of prediction error was also determined and context adaptive arithmetic coding was applied to reduce bits. The simulated results on CFA images showed that the proposed method gives less bits per pixel than the recently developed CFA compression algorithms.

scholarly journals Colour Restoration of Image Obtained from CCD Sensor Directly

2014 ◽  
Vol 14 (2) ◽  
pp. 81-91
Author(s):  
Jun Luo ◽  
Ying Chen
Keyword(s):  
Image Data ◽  
Original Data ◽  
Color Filter ◽  
Interpolation Algorithm ◽  
Original Image ◽  
Color Information ◽  
Bilinear Interpolation ◽  
Color Filter Array ◽  
Charge Coupled Device ◽  
Filter Array

Abstract The original image data obtained from Charge-coupled Device (CCD) can be called original data, which is lack of color information. In order to restore the color of original image, firstly, we design a Bayer color filter array, and then we use bilinear interpolation algorithm and smooth hue transition interpolation algorithm to restore the color of original image. However, the hues of adjacent pixels change abruptly by the bilinear interpolation, therefore, we use smooth hue transition interpolation to enhance the edge of original image, and finally we identify the ultimate performance of these interpolation algorithms.

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