Image may contain shadow, which can lead to serious problem for full exploitation of image. This paper proposes A Novel Processing Chain to solve this problem. The main aim of this chain process is not only detect shadow region form image but also remove shadow region and reconstruct shadow less image. In this chain process, initially we classified shadow vs. nonshadow region by using binary cl...

We present a system for interactive shadow editing from single images which includes the manipulations of shape, distribution, sharpness and darkness of shadows according to the features of existing shadows. We first obtain a shadow-free image, shadow boundary and its registered sparse shadow scales using an existing shadow removal method. The modifiable features of the shadow are synthesised f...

In remote sensing images, shadows created by big tower, bridges, tree. It may destroy the information of an image. Missing information has a direct effect on common analysis and processing of image, this leads to inefficient classification. To separate shadow and non shadow regions, morphological feature is consider for segmentation. Relevance Vector Machine (RVM) classifier can also classify b...

the light in modern concept has accompanied by theater as one of the formative elements of showing art from the first days of theater emergence and todays various functions have been defined for that and it has been and is being used for different purpose. on the other hand, the light is always with shadow on the scene and lack of light causes to darkness on the scene. so, the light, shadow, an...

Figure 1: Comparison between trapezoidal shadow maps (TSMs) and subdivided shadow maps. a) TSM with 1K×1K shadow map, b) TSM with 4K×4K shadow map, and c) 1K×1K subdivided shadow map. This configuration with a small angle between the light and view directions is difficult for prior methods. Even with the largest shadow map that can be allocated on current hardware, TSMs are not able to match th...

Shadow detection and removal in various real life scenarios including surveillance system, indoor outdoor scenes, and computer vision system remained a challenging task. Shadow in traffic surveillance system may misclassify the actual object, reducing the system performance. However, shadow causes problems in computer vision applications such as segmentation, object detection and object countin...

Successfully detecting shadows in still images is challenging yet has wide applications. Shadow properties and features are very important for shadow detection and processing. The aim of this work is to find some new physical properties of shadows and use them as shadow features to design an effective shadow detection method for outdoor color images. We observe that although the spectral power ...