Color High Dynamic Range Imaging

Luminance-Chrominance approach


Introduction

Results

Downloads

Publications

Open Positions






Introduction


Recently, the problem of recovering a high dynamic range (HDR) image from multiple exposures of a low dynamic range (LDR) imaging device has gotten increasing attention from the digital imaging community. The methods currently employed date back to the first half of the 1990's and for gray-scale images they are essentially mature. As far as the issue of color is concerned, all known methods operate in RGB space. This however raises some problems, since when processing the three RGB channels independently one nearly always ends up distorting the colors, thus creating a need for white-balancing and possibly more corrective procedures. From another side, much of the processing in the imaging devices as well as final storage of the images is done in a luminance-chrominance space. This project presents a novel and efficient approach to color in high dynamic range (HDR) imaging. In contrast to state-of-the-art methods, we 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 any possible color distortions originating from the three RGB color channels processed separately. To achieve this, we build a camera response function for the luminance channel only and weight and compose the HDR luminance accordingly, while for the chrominance channels we apply weighting in relation with the saturation level.



Experimental results


A source sequence of five images.

Sequence
The five-image source sequence used in the HDR composition example.


tone-mapped image
The tone mapped result of our HDR imaging process.
Download losslessly compressed png image


Notes:




Downloads

Sequence description Filesize
Full resolution original sequence DOWNLOAD 42.7 MB
Downsamples sequence (complete) DOWNLOAD 3.4 MB
Downsampled sequence (images used in composition) DOWNLOAD 1.5 MB
Noisy sequence (standard deviation 5/255) DOWNLOAD 2.7 MB
Noisy sequence (standard deviation 15/255) DOWNLOAD 2.8 MB
Noisy sequence (standard deviation 25/255) DOWNLOAD 2.9 MB
Full resolution original sequence, Nikon E4500, ISO 800 DOWNLOAD 35.0 MB
Downsamples sequence, Nikon E4500, ISO 800 DOWNLOAD 3.2 MB



Publications

O. Pirinen, A. Foi, and A. Gotchev, “Color High Dynamic Range Imaging: Algorithms for Acquisition and Display”, in Computational Photography: Methods and Applications (R. Lukac, ed.), CRC Press / Taylor & Francis, ISBN: 978-1-4398-1749-0, October 2010. Note: large file! (79 MB)     to publisherto CRC Press   to amazon.comto amazon.com
PDF O. Pirinen, High Dynamic Range Imaging in Luminance-Chrominance Space, Master of Science Thesis, year 2007. Note: large file! (111 MB)
PDF O. Pirinen, A. Foi, and A. Gotchev, “Color High Dynamic Range Imaging: The Luminance-Chrominance Approach”, Accepted, to appear in International Journal of Imaging Systems and Technology (IJIST) - Special Issue on Applied Color Image Processing, 2007.
PDF O. Pirinen, A. Foi, and A. Gotchev, “Color High Dynamic Range (HDR) Imaging in Luminance-Chrominance Space”, in Proceedings of Third International Workshop on Video Processing and Quality Metrics for Consumer Electronics, VPQM-2007, Scottsdale, AZ, January 2007.


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