Title :
The generation of the all-in-focus image based on texture and range information
Author :
Liu, Ming-yang ; Chen, Yung-fang ; Chia, Tsorng-lin
Author_Institution :
Dept. of Comput. & Commun. Eng., Ming Chuan Univ., Taoyuan, Taiwan
Abstract :
Although the intelligent digital still camera enables to increase the speed for taking pictures and using more convenient, the customer have to worry about the focusing problem yet because the defocused image cannot be recovered anymore. In this study, the concept of the all-in-focus image is employed to develop a smart camera, so the user is not necessary to consider the focusing in the time of taking a picture. It allows the user to adjust the focusing situation on the computer later. First, the method to separate the texture edge and the occluded edge in the space-focus color map (SFCM) is designed based on the texture and range information of the scene. Next, collecting the proper focus and color of each pixel establishes the all-in-focus image. The proposed method can also recover the color of the pixel near the occluded edge. To break optical limitation, multiple objects located in different ranges can be all in-focus. The experimental results verify the proposed method is effective and correct.
Keywords :
cameras; focusing; image colour analysis; image texture; SFCM; all-in-focus image generation; focusing problem; image range information; image texture; intelligent digital still camera; multiple objects location; space-focus color map; Cameras; Focusing; Image color analysis; Image edge detection; Lenses; Machine learning; Pixel; All-in-focus image; Image defocusing; Occluded edge; The digital still camera;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580927