A new algorithm for unsupervised global and local color correction
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Natural color image enhancement and evaluation algorithm based on human visual system
Computer Vision and Image Understanding
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Topological SLAM Using Fast Vision Techniques
Proceedings of the FIRA RoboWorld Congress 2009 on Advances in Robotics
HVS-aware ROI-Based illumination and color restoration
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Three cameras method of light sources extraction in augmented reality
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Topological map induction using neighbourhood information of places
Autonomous Robots
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This paper presents a new algorithm for spatially modulated tone mapping in Standard Dynamic Range (SDR) images. The method performs image enhancement by lightening the tones in the under-exposured regions while darkening the tones in the over-exposured, without affecting the correctly exposured ones. The tone mapping function is inspired by the shunting characteristics of the center-surround cells of the Human Visual System (HVS). This function is modulated differently for every pixel, according to its surround. The surround is calculated using a new approach, based on the oriented cells of the HVS, which allows it to adapt its shape to the local contents of the image and, thus, minimize the halo effects. The method has low complexity and can render 1MPixel images in approximately 1 second when executed by a conventional PC.