Color image acquisition method using color filter arrays occupying overlapped color spaces

2003 ◽  
Author(s):  
Takashi Komatsu ◽  
Takahiro Saito
Keyword(s):  
Color Image ◽  
Image Acquisition ◽  
Color Filter ◽  
Color Spaces ◽  
Acquisition Method

scholarly journals Noise Removal in the Developing Process of Digital Negatives

Sensors ◽  
2020 ◽  
Vol 20 (3) ◽  
pp. 902
Author(s):  
Marek Szczepański ◽  
Filip Giemza
Keyword(s):  
Noise Reduction ◽  
Color Image ◽  
Image Acquisition ◽  
Noise Removal ◽  
Image Sensor ◽  
Sensor Data ◽  
Color Filter ◽  
Local Means ◽  
Real Process ◽  
Cmos Sensor

Most modern color digital cameras are equipped with a single image sensor with a color filter array (CFA). One of the most important stages of preprocessing is noise reduction. Most research related to this topic ignores the problem associated with the actual color image acquisition process and assumes that we are processing the image in the sRGB space. In the presented paper, the real process of developing raw images obtained from the CFA sensor was analyzed. As part of the work, a diverse database of test images in the form of a digital negative and its reference version was prepared. The main problem posed in the work was the location of the denoising and demosaicing algorithms in the entire raw image processing pipeline. For this purpose, all stages of processing the digital negative are reproduced. The process of noise generation in the image sensors was also simulated, parameterizing it with ISO sensitivity for a specific CMOS sensor. In this work, we tested commonly used algorithms based on the idea of non-local means, such as NLM or BM3D, in combination with various techniques of interpolation of CFA sensor data. Our experiments have shown that the use of noise reduction methods directly on the raw sensor data, improves the final result only in the case of highly disturbed images, which corresponds to the process of image acquisition in difficult lighting conditions.

scholarly journals Color image acquisition using a monochrome camera and standard fluorescence filter cubes

BioTechniques ◽  
2005 ◽  
Vol 38 (1) ◽  
pp. 52-56 ◽  
Author(s):  
Gregory F. Weber ◽  
A. Sue Menko
Keyword(s):  
Color Image ◽  
Image Acquisition

scholarly journals A Blind Print-Recapture Robust Watermark Scheme by Calculating Self-Convolution

2019 ◽  
Vol 11 (4) ◽  
pp. 28-49 ◽  
Author(s):  
Mengmeng Zhang ◽  
Rongrong Ni ◽  
Yao Zhao
Keyword(s):  
Detection Rate ◽  
Color Image ◽  
Correlation Coefficients ◽  
Color Images ◽  
Geometric Transformation ◽  
Original Image ◽  
Color Spaces ◽  
Watermark Scheme ◽  
Robust Watermark ◽  
Cie Lab

A blind print-recapture robust watermark scheme is proposed. Watermark patterns are embedded into the space domain of a color image and can be detected from a print-recaptured version of the image without knowledge of the original image. The process of embedding invisible watermarks to convert RGB color images to CIE Lab color spaces and embed periodic watermarks in both color channels at the same time. Watermark extraction is achieved by calculating self-convolution and inverting the geometric transformation such as rotation and scale. Normalized correlation coefficients between the extracted and the embedded watermark pattern is calculated to determine whether there is watermark. The decision about the presence/absence of the watermark pattern is then determined by a threshold which is set 0.13, and the detection rate of 241 pictures is about 0.79.

Sign in / Sign up

Export Citation Format

Share Document