Desktop application for local Laplacian image filtering developed in C#

Processor: Intel® or AMD processor with 64-bit support (2 GHz or faster processor)
Operating system: Microsoft Windows 7 (Microsoft Windows 10 recommended)
RAM: 2 GB or more of RAM
Minimal resolution: 1280 x 800 px

The application is designed for post-processing of raster images by correcting the dynamic range of brightness, local and global contrast, detail, saturation and exposure. It supports three color spaces: YCbCr, HSL, HSB and grayscale mode. The application includes the function of creating HDR-images from a series of images of different exposures (exposure fusion based on Laplacian pyramid technique [3]).

Figure 1. Images with different exposures

Figure 2. Exposure fusion

Figure 3. Enhanced exposure fusion

MIT

1. Sylvain Paris, Samuel W. Hasinoff and Jan Kautz. Local Laplacian filters: edge-aware image processing with a Laplacian pyramid, ACM Trans. Graph. 30.4 (2011): 68 (pdf).
2. Mathieu Aubry et al. Fast local laplacian filters: Theory and applications. ACM Transactions on Graphics (TOG) 33.5 (2014): 167 (pdf).
3. Tom Mertens, Jan Kautz and Frank Van Reeth. Exposure Fusion. Pacific Graphics 2007: Proceedings of the Pacific Conference on Computer Graphics and Applications. Maui, HI, 2007, pp. 382–390 (pdf).
4. Mathworks: MATLAB - Fast local Laplacian filtering of images (page).
5. UMapx - Cross-platform .NET library for digital signal processing (link).