| Summary: | 碩士 === 國立臺灣科技大學 === 資訊管理系 === 105 === Shadow can be seen everywhere in our daily life. The visual system of human
beings can distinguish shadow easily, but it is difficult for a computer to detect
and remove the shadow in an image. In addition, in the image processing field,
shadow can help us understand the architecture of a scene and the direction of a
light source, but in some applications, such as object tracking, object recognition
and image segmentation, shadow may cause failure. Therefore, shadow detection
and shadow removal become important issues in image processing.
Nowadays, there are many techniques for detecting and removing shadows, but
it is still hard to detect penumbra accurately. Therefore, this paper proposed three
methods for detecting a shadow boundary. First, if the texture of an image is simple,
we use inpainting to inpaint the boundaries. Second, if it is complex, we get the
blocks along the shadow boundary, perform super-resolution for the blocks, and
detect the shadow again. Last, we can use shadow removal for penumbra. As a
result, we can remove penumbra more correctly.
|
|---|
