Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Seiler, Juergen"'
This paper introduces a novel method for inter-camera color calibration for multispectral imaging with camera arrays using a consensus image. Capturing images using multispectral camera arrays has gained importance in medical, agricultural, and envir
Externí odkaz:
http://arxiv.org/abs/2410.23043
Capturing images using multispectral camera arrays has gained importance in medical, agricultural and environmental processes. However, using all available spectral bands is infeasible and produces much data, while only a fraction is needed for a giv
Externí odkaz:
http://arxiv.org/abs/2410.02001
Multispectral imaging is very beneficial in diverse applications, like healthcare and agriculture, since it can capture absorption bands of molecules in different spectral areas. A promising approach for multispectral snapshot imaging are camera arra
Externí odkaz:
http://arxiv.org/abs/2408.14050
Publikováno v:
J. Opt. Soc. Am. A 41, 2303-2315 (2024)
Retrieving the reflectance spectrum from objects is an essential task for many classification and detection problems, since many materials and processes have a unique spectral behaviour. In many cases, it is highly desirable to capture hyperspectral
Externí odkaz:
http://arxiv.org/abs/2407.09038
Autor:
Prativadibhayankaram, Srivatsa, Panda, Mahadev Prasad, Seiler, Jürgen, Richter, Thomas, Sparenberg, Heiko, Fößel, Siegfried, Kaup, André
In this work, we present a comparison between color spaces namely YUV, LAB, RGB and their effect on learned image compression. For this we use the structure and color based learned image codec (SLIC) from our prior work, which consists of two branche
Externí odkaz:
http://arxiv.org/abs/2406.13709
Multispectral imaging aims at recording images in different spectral bands. This is extremely beneficial in diverse discrimination applications, for example in agriculture, recycling or healthcare. One approach for snapshot multispectral imaging, whi
Externí odkaz:
http://arxiv.org/abs/2406.11284
Publikováno v:
2024 IEEE International Conference on Acoustics, Speech and Signal Processing
Exploiting the infrared area of the spectrum for classification problems is getting increasingly popular, because many materials have characteristic absorption bands in this area. However, sensors in the short wave infrared (SWIR) area and even highe
Externí odkaz:
http://arxiv.org/abs/2312.08949
Publikováno v:
2024 IEEE International Conference on Acoustics, Speech and Signal Processing
Since camera modules become more and more affordable, multispectral camera arrays have found their way from special applications to the mass market, e.g., in automotive systems, smartphones, or drones. Due to multiple modalities, the registration of
Externí odkaz:
http://arxiv.org/abs/2312.08946
This paper introduces a novel method for RGB-Guided Resolution Enhancement of infrared (IR) images called Guided IR Resolution Enhancement (GIRRE). In the area of single image super resolution (SISR) there exists a wide variety of algorithms like int
Externí odkaz:
http://arxiv.org/abs/2309.05996
Conditional coding is a new video coding paradigm enabled by neural-network-based compression. It can be shown that conditional coding is in theory better than the traditional residual coding, which is widely used in video compression standards like
Externí odkaz:
http://arxiv.org/abs/2307.12864