Description
Increasingly, image and video data are not only evaluated by a human viewer, but instead by machines using algorithms. In many scenarios, such as smart city systems, the computing power at the recording device is too low to perform the evaluation locally. Instead, the image data is tran...
Image quality and resolution are becoming increasingly important in a numerous imaging industries as well as in the consumer sector, which is also reflected in the demand for high-resolution camera sensors. Up to now, the number of physical pixels has usually been increased in order to achieve a better resolution. However, this is only possible to a limited extent due to the photometric limit.
However, it has been shown that the resolution of images can alternatively be improved by new, non-regular sensor layouts without increasing the number of physical pixels...
Digital cameras are usually based on a single area sensor (CCD/CMOS sensor), with each pixel measuring the intensity of the incident light at the corresponding point. In order to record more than just black and white, colour filters are placed in front of the image sensor. This means that each pixel is assigned one of the three RGB colour channels to each pixel. However, the colour information of the image is therefore incomplete because two colour values per pixel are missing. Demosaicing is used to reconstruct the missing colour values.
The need to transmit screen content data is more important than ever. Online conferencing, screen sharing and remote desktop are just a few applications where screen content data has to be compressed. However, conventional image and video codecs are mainly...
Description
The majority of the plastic waste produced is thermally recycled, i.e. incinerated. The reason for this is that the plastics often cannot be properly identified. Multispectral imaging enables clear classification. So-called camera arrays are used for this purpose; filters in different w...
Recent advances in computation power along with the availability of vast amount of data is a key enabler towardstraining the next generation of large deep neural networks comprising billions of learnable parameters. This category of networks is commonly known as foundation models. Foundation models ...
Point Clouds are becoming one of the most common data structures to represent 3D scenes as it enables six degrees of freedom (6DoF) viewing experience. Point Cloud Data has been used in many applications, from immersive media, and autonomous driving to healthcare.
However, a typical...
