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Add camera lens/sensor shift support with horizontal/vertical shift adjusters. Add shifting and rotation of corrected image. This allows post-correction adjustments to be made more easily given the fixed image canvas size. Add scaling of final result. This also helps reduce frustrations with the fixed image canvas size. Replace field of view with focal length and crop factor. Use of focal length and crop factor is more common than diagonal angular field of view. The new adjusters should be more intuitive for most photographers. The implementation of perspective correction uses a focal length relative to the image dimensions. The existing code calculates that focal length with trigonometry. The new code does it by multiplying by a ratio. Replace vertical bias with horizontal and vertical perspective distortion recovery. Vertical bias is not intuitive as it causes vertical lines to converge off-center if horizontal correction is applied. The new adjusters perform perspective distortion on the projection of the corrected image, allowing vertical/horizontal lines to converge towards the center lines of the image. Refactor perspective transformation math to use dynamically computed homogeneous coordinate matrices instead of pre-calculated formulas. This should add some overhead, but results in more maintainable code and possible improved performance due to the reduced number of arithmetic and assignments needed for each pixel. Integrate new adjusters in the GUI. This includes fine granularity for batch processing add/set modes and history.
RawTherapee is a powerful, cross-platform raw photo processing program, released as libre software under the GNU General Public License Version 3. It is written mostly in C++ using a GTK+ front-end. It uses a patched version of dcraw for reading raw files, with an in-house solution which adds the highest quality support for certain camera models unsupported by dcraw and enhances the accuracy of certain raw files already supported by dcraw. It is notable for the advanced control it gives the user over the demosaicing and development process.
Target Audience
RawTherapee is designed for developing raw files from a broad range of digital cameras, as well as HDR DNG files and non-raw image formats (JPEG, TIFF and PNG). The target audience ranges from enthusiast newcomers who wish to broaden their understanding of how digital imaging works to semi-professional photographers. Knowledge in color science is not compulsory, but it is recommended that you are eager to learn and ready to read our documentation (RawPedia) as well as look up basic concepts which lie outside the scope of RawPedia, such as color balance, elsewhere.
Professionals may use RawTherapee as well while enjoying complete freedom, but will probably lack some peripheral features such as Digital Asset Management, printing, uploading, etc. RawTherapee is not aimed at being an inclusive all-in-one program, and the open-source community is sufficiently developed by now to offer all those peripheral features in other specialized software.
Links
Website: https://www.rawtherapee.com/
Forum: https://discuss.pixls.us/c/software/rawtherapee
Features: https://rawpedia.rawtherapee.com/Features
Documentation: https://rawpedia.rawtherapee.com/
Download RawTherapee: https://www.rawtherapee.com/downloads
Download source code tarballs: https://www.rawtherapee.com/shared/source/
Compilation, Branches and Git
Refer to RawPedia for a detailed explanation of how to get the necessary dependencies and how to compile RawTherapee.
Linux: https://rawpedia.rawtherapee.com/Linux