Hi am Mohamed i would like to get details on shadow removal using bilateral filtering matlab code.I am a researcher from UESTC, which located in Cheng Du. Recently I am doing a project supported by National Natural Science Foundation of China, your paper really give a good shadow removal result, I am wondering how you make it works that well, so I am requesting you for the code of that paper, I will cite your fantastic work if I use for publishment, thank you very much.

---

(27-09-2016, 07:51 AM)Guest Wrote: Hi am Mohamed i would like to get details on shadow removal using bilateral filtering matlab code.I am a researcher from UESTC, which located in Cheng Du. Recently I am doing a project supported by National Natural Science Foundation of China, your paper really give a good shadow removal result, I am wondering how you make it works that well, so I am requesting you for the code of that paper, I will cite your fantastic work if I use for publishment. My email address is zy521zc[at]163.com. Thank you very much!

Abstract
In this paper, we propose a simple but effective shadow removal method using a single input image. We first derive a 2-D intrinsic image from a single RGB camera image based solely on colors, particularly chromaticity. We next present a method to recover a 3-D intrinsic image based on bilateral filtering and the 2-D intrinsic image. The luminance contrast in regions with similar surface reflectance due to geometry and illumination variances is effectively reduced in the derived 3-D intrinsic image, while the contrast in regions with different surface reflectance is preserved. However, the intrinsic image contains incorrect luminance values. To obtain the correct luminance, we decompose the input RGB image and the intrinsic image. Each image is decomposed into a base layer and a detail layer. We obtain a shadow-free image by combining the base layer from the input RGB image and the detail layer from the intrinsic image such that the details of the intrinsic image are transferred to the input RGB image from which the correct luminance values can be obtained. Unlike previous methods, the presented technique is fully automatic and does not require shadow detection.