Generation and use of a 3d radon image
An image and micro-image technology, applied in image enhancement, image analysis, image communication, etc., can solve the problem of expensive data processing of all-optical sensors
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2016-12-14
- Estimated Expiration
- Not applicable · inactive patent
Smart Images
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Abstract
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...
Examples
Embodiment Construction
[0022] introduction
[0023] Embodiments of the invention relate to systems and techniques for capturing plenoptic image data, processing the plenoptic image data to increase efficiency, and rendering from the processed plenoptic image data. The Radon photography technique described here alters the structure of the captured plenoptic data to define the luminosity of the target image scene in terms of the energy contained in a two-dimensional plane rather than in one-dimensional rays, which can increase the amount of image data Effectively reduces by about an order of magnitude. For example, in some implementations, this may be accomplished by applying a Radon transform to the plenoptic image data, thereby producing a Radon image. A dynamically refocusable image may be rendered from a Radon image by applying an inverse Radon transform to restore the luminosity of the image scene from the Radon image. In one example, a Radon image may be approximately 1 megabyte (MB interfac...