Color appearance in high-dynamic-range imaging

When viewing images on a monitor, we are adapted to the lighting conditions of our viewing environment as well as the monitor itself, which can be very different from the lighting conditions in which the images were taken. As a result, our perception of these photographs depends directly on the environment in which they are displayed. For high-dynamic-range images, the disconnect in the perception of scene and viewing environments is potentially much larger than in conventional film and photography. To prepare an image for display, luminance compression alone is therefore not sufficient. We propose to augment current tone reproduction operators with the application of color appearance models as an independent preprocessing step to preserve chromatic appearance across scene and display environments. The method is independent of any specific tone reproduction operator and color appearance model ( CAM) so that for each application the most suitable tone reproduction operator and CAM can be selected. (c) 2006 SPIE and IS&T.


Arslan, Ahmet; Saranlı, Afşar; Gültekin, Gökhan Koray; Department of Electrical and Electronics Engineering (2021-9-6)
Motion blur is a common problem that produces blurry images with inevitable information loss and unpleasant visual quality. Relative motion between scene and image recording device during exposure time causes the motion blur. This artifact degrades the human perceptual quality and also challenges subsequent computer vision applications. Most of the studies in the literature assume uniform blur present in the image and focuses on removing motion blur with non-blind deconvolution algorithms because of their l...
Ghost Removal in High Dynamic Range Images
Khan, Erum Arif; Akyüz, Ahmet Oğuz; Reinhard, Erik (2006-10-11)
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need for explicit object detection and motion estimation. Weights are computed iteratively and then applied to pixels to determine their contribution to the fin...
Visual similarity for hdr images with applications to tone mapping
Aydınlılar, Merve; Akyüz, Ahmet Oğuz; Tarı, Zehra Sibel; Department of Computer Engineering (2021-2-15)
Assessing visual similarity between images is important for many computer vision applications. So far, investigations on visual similarity have been confined to low dynamic range images. However, recently, there is a growing interest to high dynamic range (HDR) imaging. In this thesis, the aim is to shed light on visual image similarity for HDR images by following an experimental approach. To this end, a user experiment is conducted through a novel web-based interface, in which the participants assess the p...
Noise reduction in high dynamic range imaging
Akyüz, Ahmet Oğuz (Elsevier BV, 2007-10-01)
A common method to create high dynamic range (HDR) images is to combine several different exposures of the same scene. In this approach, the use of higher ISO settings will reduce exposure times, and thereby the total capture time. This is advantageous in certain environments where it may help minimize ghosting artifacts. However, exposures taken at high sensitivity settings tend to be noisy, which is further amplified by the HDR creation algorithm. We present a robust and efficient technique to significant...
Color Preserving HDR Fusion for Dynamic Scenes
Karadağ, Gökdeniz; Akyüz, Ahmet Oğuz (2012-06-01)
We present a novel algorithm to efficiently generate high quality high dynamic range (HDR) images. Our method is based on the idea of expanding the dynamic range of a reference image at granularity of tiles. In each tile, we use data from a single exposure, but different tiles can come from different exposures. We show that this approach is not only efficient and robust against camera and object movement, but also improves the color quality of the resulting HDR images. We compare our method against the comm...
Citation Formats
A. O. Akyüz, “Color appearance in high-dynamic-range imaging,” JOURNAL OF ELECTRONIC IMAGING, pp. 0–0, 2006, Accessed: 00, 2021. [Online]. Available: