Weighted Least Squares Filter

This project implements Farbman, Fattal, Lischinski, and Szeliski's "Edge-Preserving Decompositions for Multi-Scale Tone and Detail Manipulation."

Image from author's original dataset and courtesy of Norman Koren, www.normankoren.com

As illustrated above, this filter has applications in edge-preserving smoothing, HDR tone manipulation, detail enhancement, and non-photorealistic rendering.

Usage

python tone_manipulation.py --img_path=<img_path>

• img_path - Path to an image.

An OpenCV application showing the processed image will pop up. The controls for this application are:

• Sliders to change the weighting between detail layers and the base layer decomposition.
• Sliders (as proposed in the paper) to correct exposure and saturation after weighting the decomposition layers.
• 0-3 to change the mask level of the detail mask. Masked out detail layers will not appear in the final image. a and d affect the radius of the mask cursor, and clicking the image applies the detail mask at the selected location.

Dependencies

• Python - Tested on version 3.7.0
• NumPy - Tested on version 1.15.0
• OpenCV - Tested on version 3.4.1
• Scipy - Tested on version 0.19.1