Select one of the five factors that determine good bokeh  aQuality of the background bAmount of shadows cFile size of image dUsing a tripod

Select one of the five factors that determine good bokeh  aDistance between the subject and the background bDistance between subject 1 and subject 2 cDistance between Jupiter and Earth dQuality of the photographers gallery

Select one of the five factors that determine good bokeh aDistance between the moon and Jupiter bDistance between the camera and the subject cDistance between the camera and the background dDistance between subject 1 and subject 2

3. Why would a photographer reduce hard shadows?

Abstract— Shadow removal from a single image is a challeng-ing problem, whose solution is proposed in this paper using3D intensity surface modeling. Due to the high-order texturalcontent in the original images, a direct modeling of the intensitysurface of shadow image is difficult. In this paper, imagedecomposition technology is used as an edge-preserving filterto remove the textural detail while keeping the local-smoothnesspattern of image intensity surface. Using 3D modeling, a properintensity surface of illumination in shadow region can be obtainedbased on that corresponding to the same texture in the non-shadow one. Thus, the intensity surface of shadow region can becompensated with a respective shadow-removal. Experimentalresults demonstrate the effectiveness of the proposed approachin the aspect of single-image shadow removal. In contrast tothe alternative methods, it is not limited by additional assump-tions or conditions; moreover, it can deal with the non-uniformand curved surface shadows, and is applicable to the shadowregions consisting of different types of textures

Abstract— Shadow removal from a single image is a challeng-ing problem, whose solution is proposed in this paper using3D intensity surface modeling. Due to the high-order texturalcontent in the original images, a direct modeling of the intensitysurface of shadow image is difficult. In this paper, imagedecomposition technology is used as an edge-preserving filterto remove the textural detail while keeping the local-smoothnesspattern of image intensity surface. Using 3D modeling, a properintensity surface of illumination in shadow region can be obtainedbased on that corresponding to the same texture in the non-shadow one. Thus, the intensity surface of shadow region can becompensated with a respective shadow-removal. Experimentalresults demonstrate the effectiveness of the proposed approachin the aspect of single-image shadow removal. In contrast tothe alternative methods, it is not limited by additional assump-tions or conditions; moreover, it can deal with the non-uniformand curved surface shadows, and is applicable to the shadowregions consisting of different types of textures.