Generation and use of a 3d radon image

Abstract

Certain aspects relate to systems and techniques for efficiently recording captured plenoptic image data and for rendering images from the captured plenoptic data. The plenoptic image data can be captured by a plenoptic or other light field camera. In some implementations, four dimensional radiance data can be transformed into three dimensional data by performing a Radon transform to define the image by planes instead of rays. A resulting Radon image can represent the summed values of energy over each plane. The original three-dimensional luminous density of the scene can be recovered, for example, by performing an inverse Radon transform. Images from different views and / or having different focus can be rendered from the luminous density.

Description

technical field [0001] The systems and methods disclosed herein are directed to image data, and more specifically, to the capture and rendering of plenoptic data. Background technique [0002] The field of photography continues to evolve, offering photographers more options. For analog photography, the developed negative reveals the net results of exposure, color balance, focus, and other image capture factors as they appeared at the time the image was captured. Until recently, digital photography has been digitizing what was once an analog process. After an image is captured, digital photography offers photographers more options than analog photography because processing applications can be used to enhance and clean up the image according to certain qualities such as exposure, color balance, saturation, and the like. However, if the captured digital image is out of focus, or if the photographer wishes to shift to a different viewpoint, existing processing applications can...

AI Technical Summary

Problems solved by technology

However, processing plenoptic sensor data is computationally expensive, often requiring parallel processing on a central processing unit (CPU) or intensive processing on a graphics processing unit (GPU)

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