To avoid motion artefacts when merging multiple exposures into an HDR image, a number of deghosting algorithms have been proposed. These algorithms, however, do not work equally well on all types of scenes, and some may even introduce additional artefacts. Even though subjective methods of evaluation provide reliable means of testing, they need to be repeated for each new proposed method or eve...

In the last two decades the problem of accurately capturing the geometry of an object was extensively studied, while the acquisition of high-quality textures only in recent years has become subject of research. In most cases, geometry and texture are acquired separately and a registration step has to be carried out to correlate them. In this work we describe the usage of a color coded structure...

When the dynamic range of radiance values in a scene exceeds the capabilities of a camera, a single picture can only capture one brightness range of the scene faithfully at a time. We propose a system for creating high dynamic range (HDR) videos that overcomes this limitation. It acquires a number of images under varying exposure settings from dark to bright, each containing new scene radiance ...

An anchoring theory of lightness perception comprehensively explains many characteristics of human visual system such as lightness constancy and its spectacular failures which are important in the perception of images. We present a novel approach to tone mapping of high dynamic range (HDR) images which is inspired by the anchoring theory. The key concept of this method is the decomposition of a...

Appearance in High Dynamic Range images is controlled by intraocular glare and physiological spatial contrast. Increasing the number of high luminance pixels in a display increases glare and reduces the dynamic range of luminances on the retina. Simultaneous contrast makes areas with higher glare related luminances look darker. Previous experiments measured the range needed for the appearance b...

Color imaging systems are continuously improving, and have now improved to the point of capturing high dynamic range scenes. Unfortunately most commercially available color display devices, such as CRTs and LCDs, are limited in their dynamic range. It is necessary to tone-map, or render, the high dynamic range images in order to display them onto a lower dynamic range device. This paper describ...

Video contents now represent the biggest share of Internet traffic in terms of volume. Nextflix is responsible for 71% of the bandwidth consumed at peak hours in the US, a two-fold increase as compared to 2011, according to the last quarterly report of Sandvine [14]. On average, Netflix consumed 35,2%, followed by YouTube (17,5%) and Amazon Video (4,3%). This heavy trend points toward the need ...

Contrast in image processing is typically scaled using a power function (gamma) where its exponent specifies the amount of the physical contrast change. While the exponent is normally constant for the whole image, we observe that such scaling leads to perceptual nonuniformity in the context of high dynamic range (HDR) images. This effect is mostly due to lower contrast sensitivity of the human ...

This paper presents a global approach for constructing high dynamic range mosaic from multiple images with large exposure differences. By relating image intensities to scene radiances with a convenient distortion model, we robustly estimated registration parameters for the high dynamic range global mosaic (HDRGM), simultaneously estimating scene radiances and distortion parameters in a single f...

To utilize the full potential of new high dynamic range (HDR) displays, a system for the enhancement of bright luminous objects in video sequences is proposed. The system classifies clipped (saturated) regions as lights, reflections or diffuse surfaces using a semi-automatic classifier and then enhances each class of objects with respect to its relative brightness. The enhancement algorithm can...