This work presents validation measures for the optimization of RGB color data encoding. Various RGB specifications had been promoted in the past for standard use in imaging, most of them adapted to application or equipment specific requirements. Although some, as sRGB for instance, are already widely used, none of them has been accepted yet as a universal standard. All of them are subject to li...

Scene recognition with RGB images has been extensively studied and has reached very remarkable recognition levels, thanks to convolutional neural networks (CNN) and large scene datasets. In contrast, current RGB-D scene data is much more limited, so often leverages RGB large datasets, by transferring pretrained RGB CNN models and fine-tuning with the target RGB-D dataset. However, we show that ...

This paper presents an IF1F2 color space for describing colors in microscopic images. Unlike the classical color spaces that treat the R, G, and B (RGB) components of a pixel’s color as independent elements, the proposed color space treats RGB as a sampled spectral signal, called a RGB signal. Then, based on the Fourier spectrum analysis of the RGB signal, the 1-D discrete Fourier transform is ...

The red-blue-green (RGB) calibration technique consists in constructing an a priori calibration table of the isochromatic retardation versus the triplet of RGB values obtained with a RGB CCD camera. In this way a lookup table (LUT) is built in which the entry is the corresponding RGB triplet and the output is the given retardation. This calibration (a radiometric quantity) depends on the geomet...

A perceptual study of the RGB colour cube was conducted. In later stages of this research an RGB colour notation system based on perceptual RGB colour relationships was developed. A notation for an RGB colour wheel is proposed and colours are organized based on hue relationships. An application of this research was integrated as a graphical user interface (GUI) approach, which led to the develo...

We present an optimization technique to find hue constant RGB sensors. The hue representation is based on a log RGB opponent color space that is invariant to brightness and gamma. While modeling the visual response did not derive the opponent space, the hue definition is similar to the ones found in CIE Lab and IPT. Finding hue constant RGB sensors through this optimization might be applicable ...

At the Geneva meeting we presented the YCoCg color space [1], including its simple transformation equations relative to RGB and its improved coding gain relative to both RGB and YCbCr. We also discussed the reversibility of RGB to YCoCg conversion process in the case that two additional bits of precision are used for YCoCg relative to the precision used for source RGB data. In this proposal, we...

In recent years, many applications using a pair of RGB and near-infrared (NIR) images have been proposed in computer vision and image processing communities. Thanks to recent progress of image sensor technology, it is also becoming possible to manufacture an image sensor with a novel spectral filter array, which has RGB plus NIR pixels for one-shot acquisition of the RGB and the NIR images. In ...

Many systems combine RGB cameras with other sensor modalities for fusing visual data with complementary environmental information in order to achieve improved sensing capabilities. This article explores the possibility of fusing a commodity RGB-D camera and a thermal sensor. We show that using traditional methods, it is possible to accurately calibrate the complete system and register the three...

We gave a lecture regarding the principles of endoscopes to students studying medical engineering. The following was the lecture. The light from the light source passed through the rotating RGB filter, and changed to a red, a green, and a blue light, respectively, and these three colored lights illuminated an object. Each light reflected from the object passed through a lens and was received by...