High dynamic range imaging pipeline on the GPU

Use of high dynamic range (HDR) images and video in image processing and computer graphics applications is rapidly gaining popularity. However, creating and displaying high resolution HDR content on CPUs is a time consuming task. Although some previous work focused on real-time tone mapping, implementation of a full HDR imaging (HDRI) pipeline on the GPU has not been detailed. In this article we aim to fill this gap by providing a detailed description of how the HDRI pipeline, from HDR image assembly to tone mapping, can be implemented exclusively on the GPU. We also explain the trade-offs that need to be made for improving efficiency and show timing comparisons for CPU versus GPU implementations of the HDRI pipeline.


Automatic saturation correction for dynamic range management algorithms
Artusi, Alessandro; POULİ, Tania; BANTERLE, Francesco; Akyüz, Ahmet Oğuz (2018-04-01)
High dynamic range (HDR) images require tone reproduction to match the range of values to the capabilities of a display. For computational reasons and given the absence of fully calibrated imagery, rudimentary color reproduction is often added as a post-processing step rather than integrated into tone reproduction algorithms. In the general case, this currently requires manual parameter tuning, and can be automated only for some global tone reproduction operators by inferring parameters from the tone curve....
Do HDR displays support LDR content? a psychophysical evaluation
Akyüz, Ahmet Oğuz; Riecke, Bernhard E.; Reinhard, Erik; Buethoff, Heinrich H. (2007-07-01)
The development of high dynamic range (HDR) imagery has brought us to the verge of arguably the largest change in image display technologies since the transition from black-and-white to color television. Novel capture and display hardware will soon enable consumers to enjoy the HDR experience in their own homes. The question remains, however, of what to do with existing images and movies, which are intrinsically low dynamic range (LDR). Can this enormous volume of legacy content also be displayed effectivel...
Evaluation of tone mapping and exposure fusion algorithms on HDR videos for face detection and recognition
Çavdarlı, Fehime Betül; Akyüz, Ahmet Oğuz; Department of Computer Engineering (2022-2-08)
High dynamic range (HDR) images have become popular recently especially for video surveillance systems. One of the most important reasons for this is that in areas where there is under or over-exposure, classical low dynamic range (LDR) images are insufficient to capture details, while HDR images have better visual details and contain wide range illumination values. However, since HDR images cannot be viewed on conventional LDR displays, additional processing such as tonemapping and/or fusion are required t...
A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images
SİKUDOVA, Elena; POULİ, Tania; ARTUSİ, Alessandro; Akyüz, Ahmet Oğuz; BANTERLE, Francesco; Mazlumoglu, Zeynep Miray; REİNHARD, Erik (2016-07-01)
An integrated gamut- and tone-management framework for color-accurate reproduction of high dynamic range images can prevent hue and luminance shifts while taking gamut boundaries into consideration. The proposed approach is conceptually and computationally simple, parameter-free, and compatible with existing tone-mapping operators.
Directional coding of backward compatible high dynamic range (HDR) image coding residues
Feyiz, Kutan; Kamışlı, Fatih; Department of Electrical and Electronics Engineering (2018)
High dynamic range (HDR) image and video formats are proposed to overcome limitations of widely accepted standard 8-bit low dynamic range (LDR) image and video representations. The main aim of these formats is to encode the whole luminance range of real world scenes which changes from extreme darkness ( 10 − 6 cd/ m 2 ) to bright sunshine ( 10 8 cd/ m 2 ), and to generate and store such scenes independent from the display technology. To achieve a successful transition from LDR to HDR technology, backward ...
Citation Formats
A. O. Akyüz, “High dynamic range imaging pipeline on the GPU,” JOURNAL OF REAL-TIME IMAGE PROCESSING, pp. 273–287, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/46483.