High Dynamic Range (HDR) imaging is one of the technologies that are changing photo, TV, and film industries. The popularity and full public adoption of HDR content is however hindered by the lack of standards in evaluation of quality, file formats, and compression, as well as large legacy base of Low Dynamic Range (LDR) displays that are unable to render HDR. Many tone-mapping operators, aimin...

An algorithm for blending multiple-exposure images of a scene into an image with maximum information content is introduced. The algorithm partitions the image domain into subimages and for each subimage selects the image that contains the most information about the subimage. The selected images are then blended together using monotonically decreasing blending functions that are centered at the ...

High dynamic range imaging aims at creating an image with a range of intensity variations larger than the range supported by a camera sensor. Most commonly used methods combine multiple exposure low dynamic range (LDR) images, to obtain the high dynamic range (HDR) image. Available methods typically neglect the noise term while finding appropriate weighting functions to estimate the camera resp...

In this work we analyze the results produced by high dynamic range (HDR) multi-exposure merging algorithms that handle motion artefacts. Within this analysis, we introduce the criteria for the evaluation of these algorithms. In order to perform a comprehensive evaluation we propose a dataset categorized into different types of scenes, each posing a challenge for the evaluated algorithm. For the...

Given any metric that compares images of different dynamic range, we propose a method to reduce their distance with respect to this metric. The key idea is to consider the metric as a non local operator. Then, we transform the problem of distance reduction into a non local variational problem. In this context, the low dynamic range image having the smallest distance with a given high dynamic ra...

IN this lecture note, we describe high dynamic range (HDR) imaging systems; such systems are able to represent luminances of much larger brightness and, typically, also a larger range of colors than conventional standard dynamic range (SDR) imaging systems. The larger luminance range greatly improve the overall quality of visual content, making it appears much more realistic and appealing to ob...

This paper proposes a data hiding method for high dynamic range images with the LogLuv encoding format. To the best of our knowledge, this is the first data hiding algorithm developed in the literature for such an HDR format. Our scheme considers both the luminance channel and two chromatic channels when we embed a secret message. This allows us to conceal up to 6 bits of secret messages in the...

Over the last decade, much research experience has been gained in the realm of high dynamic range imaging (HDRI). On account of the significantly improved visual experience that HDRI offers, industry has recently taken a strong interest in this set of technologies. This is evident in the active consideration of HDR by standardization bodies, for instance DVD and EBU in the context of UHDTV, and...

The goal of this project is to compute a bound on the minimum error inherent in rendering a floating point image on a high dynamic range (HDR) display. The standard methods for rendering to this and similar devices will need to be real time. While they will employ the computation power of the GPU, many shortcuts which can affect image quality will be required in order to obtain interactive fram...

In the consumer digital photography market we have nearly all images stored in the JPEG compression format. While many new compression methods were proposed for providing somewhat better compression, and also a variety of new features, most users currently do not see compelling reasons for adopting new formats. The high dynamic range feature seems to be an exception, standing out in its appeal ...