Image Gathering and Digital Restoration: End-To-End Optimization for Visual Quality

F. O. Huck, Sarah John, J. A. McCormick, R. Narayanswamy
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引用次数: 1

Abstract

Image gathering and digital restoration are commonly treated as separate tasks. However, it is possible to gain significant improvements in fidelity, resolution, sharpness, and clarity when these two tasks are optimized together. In this paper, we demonstrate the improvements that can be gained when (1) the design of the image-gathering system is optimized for high information density rather than for conventional image reconstruction, and (2) the digital restoration of the image accounts for the aliasing as well as the blurring and noise in image gathering and practically eliminates the degradations that occur due to the blurring and raster effects in image reconstruction.
图像采集和数字恢复:视觉质量的端到端优化
图像采集和数字恢复通常被视为单独的任务。然而,当这两个任务一起优化时,可能会在保真度、分辨率、清晰度和清晰度方面获得显着改善。在本文中,我们展示了在以下情况下可以获得的改进:(1)图像采集系统的设计针对高信息密度而不是传统的图像重建进行优化;(2)图像的数字恢复考虑了图像采集中的混叠、模糊和噪声,并实际上消除了图像重建中由于模糊和光栅效应而产生的退化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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