JOURNAL ARTICLE

Depth Estimation from Defocused Images: A Survey

Jyoti B. KulkarniC. M. SheelaRani

Year: 2018 Journal:   International Journal of Advances in Applied Sciences Vol: 7 (3)Pages: 220-220   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

<p>An important step in 3D data generation is the generation of depth map. Depth map is a black and white image which has exactly the same size of the original captured 2D image that indicates the relative distance of each pixel from the observer to the objects in the real world. This paper presents a survey of Depth Perception from Defocused or blurs images as well as image from motion. The change of distance of the object from the camera has direct relation with the amount of blurring of object in the image. The amount of blurring will be calculated with a comparison in front of the camera directly and can be seen with the changes at gray level around the edges of objects.</p>

Keywords:
Computer vision Artificial intelligence Observer (physics) Pixel Image (mathematics) Object (grammar) Computer science Mathematics Physics

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Topics

Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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