2 citations · 3 across the 11 of their papers we have counts for
11 papers
Hierarchical Filter Band Selection for Multispectral Object Classification
Katja Kossira, Jürgen Seiler, André Kaup
Multispectral camera arrays capture image data in various spectral bands, enabling image acquisition beyond human perception. These systems are widely used in medical, agricultural…
Anti-Aliasing Snapshot HDR Imaging Using Non-Regular Sensing
Teresa Stürzenhofäcker, Moritz Klimm, Jürgen Seiler +1
Snapshot HDR imaging is essential to capture the full dynamic range of a scene in a single exposure, making it essential for video and dynamic environments where motion prevents th…
Optimized Learned Image Compression for Facial Expression Recognition
Xiumei Li, Marc Windsheimer, Misha Sadeghi +2
Efficient data compression is crucial for the storage and transmission of visual data. However, in facial expression recognition (FER) tasks, lossy compression often leads to featu…
Lossless 4:2:0 Screen Content Coding Using Luma-Guided Soft Context Formation
Hannah Och, André Kaup
The soft context formation coder is a pixel-wise state-of-the-art lossless screen content coder using pattern matching and color palette coding in combination with arithmetic codin…
Improved Motion Plane Adaptive 360-Degree Video Compression Using Affine Motion Models
Marina Ritthaler, Andy Regensky, André Kaup
Efficient compression of 360-degree video content requires the application of advanced motion models for interframe prediction. The Motion Plane Adaptive (MPA) motion model project…
OSLO-IC: On-the-Sphere Learned Omnidirectional Image Compression with Attention Modules and Spatial Context
Paul Wawerek-López, Navid Mahmoudian Bidgoli, Pascal Frossard +2
Developing effective 360-degree (spherical) image compression techniques is crucial for technologies like virtual reality and automated driving. This paper advances the state-of-th…
Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model
Panqi Jia, A. Burakhan Koyuncu, Jue Mao +9
The research on neural network (NN) based image compression has shown superior performance compared to classical compression frameworks. Unlike the hand-engineered transforms in th…
Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization
Panqi Jia, Jue Mao, Esin Koyuncu +6
Currently, there is a high demand for neural network-based image compression codecs. These codecs employ non-linear transforms to create compact bit representations and facilitate…
SLIC: A Learned Image Codec Using Structure and Color
Srivatsa Prativadibhayankaram, Mahadev Prasad Panda, Thomas Richter +3
We propose the structure and color based learned image codec (SLIC) in which the task of compression is split into that of luminance and chrominance. The deep learning model is bui…
Quantized Decoder in Learned Image Compression for Deterministic Reconstruction
Esin Koyuncu, Timofey Solovyev, Johannes Sauer +2
Learned image compression has a problem of non-bit-exact reconstruction due to different calculations of floating point arithmetic on different devices. This paper shows a method t…
Enhanced Color Palette Modeling for Lossless Screen Content Compression
Hannah Och, Shabhrish Reddy Uddehal, Tilo Strutz +1
Soft context formation is a lossless image coding method for screen content. It encodes images pixel by pixel via arithmetic coding by collecting statistics for probability distrib…