A Color Television Camera Using a Single Interline Transfer Ccd Image Sensor With Color Filter Array

1981 ◽  
Vol CE-27 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Masanobu Morishita ◽  
Tanaka Takanari ◽  
Yoshihiro Hamada ◽  
Hidehiko Inoue ◽  
Akiyoshi Kouno
Keyword(s):  
Image Sensor ◽  
Color Filter ◽  
Color Filter Array ◽  
Television Camera ◽  
Filter Array ◽  
Ccd Image Sensor ◽  
Color Television ◽  
Ccd Image

Exquisite Design of a CCD Analog Front End Module

2013 ◽  
Vol 300-301 ◽  
pp. 414-418 ◽  
Author(s):  
Wen Tzeng Huang ◽  
Chao Nan Hung ◽  
Yao Ming Yu ◽  
Qing Han Wu ◽  
Chiu Ching Tuan
Keyword(s):  
High Performance ◽  
Image Sensor ◽  
Low Noise ◽  
Color Filter ◽  
Front End ◽  
Analog Front End ◽  
Filter Array ◽  
Ccd Image Sensor ◽  
Front End Module ◽  
Ccd Image

One of the key technologies for high-resolution camera is the analog front end (AFE) design, which is between the lens and image system process (ISP). The 2 major evaluations of AFE are to evaluate the noise and the ratio between the RGB pixels. Hence, based on the charge coupled device (CCD) image sensor, we present our proposed AFE design to evaluate the CCD noise of the output image with a lower dark current. Our proposed AFE board design is to employee the 1080p (1920×1080) CCD image sensor and its corresponding timing controller with the digital-analog converter (ADC). Our results indicate that our design has the high performance among 6 different digital brands in the low noise applications. Moreover, the CCD sensors with the different resolutions can be installed within the same socket of our AFE board, which can also simultaneously support 3 types, Bayer, Truesense, and Black/White, color filter array.

scholarly journals Joint Demosaicing and Denoising Based on a Variational Deep Image Prior Neural Network

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2970 ◽  
Author(s):  
Yunjin Park ◽  
Sukho Lee ◽  
Byeongseon Jeong ◽  
Jungho Yoon
Keyword(s):  
Color Image ◽  
Image Sensor ◽  
Training Data ◽  
Color Filter ◽  
Color Filter Array ◽  
Image Prior ◽  
Filter Array ◽  
Monochrome Image ◽  
Deep Image ◽  
Different Levels

A joint demosaicing and denoising task refers to the task of simultaneously reconstructing and denoising a color image from a patterned image obtained by a monochrome image sensor with a color filter array. Recently, inspired by the success of deep learning in many image processing tasks, there has been research to apply convolutional neural networks (CNNs) to the task of joint demosaicing and denoising. However, such CNNs need many training data to be trained, and work well only for patterned images which have the same amount of noise they have been trained on. In this paper, we propose a variational deep image prior network for joint demosaicing and denoising which can be trained on a single patterned image and works for patterned images with different levels of noise. We also propose a new RGB color filter array (CFA) which works better with the proposed network than the conventional Bayer CFA. Mathematical justifications of why the variational deep image prior network suits the task of joint demosaicing and denoising are also given, and experimental results verify the performance of the proposed method.

Toward blind joint demosaicing and denoising of raw color filter array data

2021 ◽  
Author(s):  
Fangfang Wu ◽  
Tao Huang ◽  
Weisheng Dong ◽  
Guangming Shi ◽  
Zhonglong Zheng ◽  
...  
Keyword(s):  
Color Filter ◽  
Color Filter Array ◽  
Array Data ◽  
Filter Array

Investigation of SEE Breakdown in CCD Image Sensor

2018 ◽  
Author(s):  
Maksim E. Cherniak ◽  
Roman K. Mozhaev ◽  
Alexander A. Pechenkin ◽  
Dmitry V. Boychenko ◽  
Alexander Y. Nikiforov
Keyword(s):  
Image Sensor ◽  
Ccd Image Sensor ◽  
Ccd Image

scholarly journals Adaptive Wiener filter super-resolution of color filter array images

2013 ◽  
Vol 21 (16) ◽  
pp. 18820 ◽  
Author(s):  
Barry K. Karch ◽  
Russell C. Hardie
Keyword(s):  
Wiener Filter ◽  
Super Resolution ◽  
Color Filter ◽  
Color Filter Array ◽  
Filter Array
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