In this paper, a structural similarity index is first proposed for two images with possibly different dynamic ranges and intensities as well as possibly small rotation and transl...
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
Mark A. Davenport, Jason N. Laska, John R. Treichl...
Without specialized sensor technology or custom, multichip cameras, high dynamic range imaging typically involves time-sequential capture of multiple photographs. The obvious down...
Mushfiqur Rouf, Rafal Mantiuk, Wolfgang Heidrich, ...
This paper describes a new method to automatically improve scene lighting for video conferencing by learning the photometric mapping between a lower exposure and desired exposure ...
In this paper, we present a learning-based image processing technique. We have developed a novel method to map high dynamic range scenes to low dynamic range images for display in...
A classic photographic task is the mapping of the potentially high dynamic range of real world luminances to the low dynamic range of the photographic print. This tone reproductio...
Erik Reinhard, Michael M. Stark, Peter Shirley, Ja...
We present a new method for rendering high dynamic range images on conventional displays. Our method is conceptually simple, computationally efficient, robust, and easy to use. We...
We present a novel approach that allows users to intuitively and interactively manipulate High Dynamic Range (HDR) images using commonly available Low Dynamic Range (LDR) displays...
One of the most critical resource management issues in the use of ternary content addressable memory (TCAM) for packet classification/filtering is how to effectively support filte...
We conduct a series of experiments to investigate the desired properties of a tone mapping operator (TMO) and to design such an operator based on subjective data. We propose a nov...
Akiko Yoshida, Rafal Mantiuk, Karol Myszkowski, Ha...