High dynamic range imaging techniques involve capturing and storing real world radiance values that span many orders of magnitude. However, common display devices can usually reproduce intensity ranges only up to two to three orders of magnitude. Therefore, in order to display a high dynamic range image on a low dynamic range screen, the dynamic range of the image needs to be compressed without...

Exposure fusion is an efficient method for directly fusing multi-exposure images into a high-quality low dynamic range image, without the high dynamic range (HDR) production and tone mapping process. The previous exposure fusion methods only produced an image that contains a fixed amount of details, which can not satisfy further demands for more detail information. We introduce Local Laplacian ...

We observed Sgr A* at 1.3 cm on 1992 November 8 with a 14 station VLBI array and, using data from 10 of these stations, obtained a high-dynamic range image with a beam of 3.35×1.7 milliarcseconds in position angle 14◦. The observed surface brightness distribution of Sgr A* is best modelled by an elliptically shaped gaussian component with parameter values: flux density 1.05 ± 0.10 Jy, major axi...

A compact overall design of a multispectral camera can be achieved by placing the bandpass filters between the lens and sensor. However, internal reflections between the sensor (or IR cut filter) and the optical filters may lead to weak duplicate images which impair the image quality. The duplicates called ghosting are especially noticeable near bright image regions and interfere with the surro...

We presented a survey on High-dynamic-range imaging (HDRI or HDR) is a set of methods used in the imagingand photography to reproduce a superior dynamic range of luminosity than regular digital imaging or photographic methods can do. HDR images can denote a superior range of the luminance levels than can be attained using the extra 'classical' techniques. Images such as those holding many actua...

In the Pseudo-Multiple-Exposure-Based Tone Fusion with Local Region Adjustment [1], it introduces a framework for inverse tone mapping which uses only one Low Dynamic Range (LDR) image to evaluate High Dynamic Range (HDR) image. First, map LDR image to HDR images using S curve. By changing the parameters of S curve, we can get different EV scenes. Then, segment the image into four different lum...

In this article we present multiple-aperture photography, a new method for analyzing sets of images captured with different aperture settings, with all other camera parameters fixed. Using an image restoration framework, we show that we can simultaneously account for defocus, high dynamic range exposure (HDR), and noise, all of which are confounded according to aperture. Our formulation is base...

High dynamic range (HDR) imaging is able to capture a wide range of luminance values, closer to what the human eye can perceive. However, for capture and display technologies, it is important to answer the question on the significance of higher dynamic range for user preference. This paper answers this question by investigating the added value of higher dynamic range via a rigorous set of subje...

High Dynamic Range (HDR) displays and cameras are paving their ways through the consumer market at a rapid growth rate. Thanks to TV and camera manufacturers, HDR systems are now becoming available commercially to end users. This is taking place only a few years after the blooming of 3D video technologies. MPEG/ITU are also actively working towards the standardization of these technologies. How...

In this paper, we address the issue of color in high dynamic range (HDR) imaging. In contrast to state-of-the-art methods, we propose to move the complete HDR imaging process from RGB to a luminance-chrominance color space. Our aim is to get a more computationally efficient technique and to avoid also any possible color distortions originating from three color channels processed separately. To ...