CAJ | 학술논문

针对现有计算机视觉、图形学、信号处理、数字图像处理、应用光学等领域无法通过现有成像模型与装置及计算方法获取足够目标场景信息的难题，计算摄像学研究提出新的成像机制与对应的计算重构方法，在光信号观测领域另辟蹊径，创新性地将视觉信息处理与计算前移至成像过程，从而极大地提高了信息优化计算的自由度，能够在维度、尺度与分辨率上实现质的突破，从而观测到传统成像系统“看不清”与“看不见”的场景信息。本文沿着计算摄像学思路、方法与目标三条主线，对国内外研究现状进行分析与综述，期望能够帮助读者更快地了解及进入相关研究。
침대현유계산궤시각、도형학、신호처리、수자도상처리、응용광학등영역무법통과현유성상모형여장치급계산방법획취족구목표장경신식적난제，계산섭상학연구제출신적성상궤제여대응적계산중구방법，재광신호관측영역령벽혜경，창신성지장시각신식처리여계산전이지성상과정，종이겁대지제고료신식우화계산적자유도，능구재유도、척도여분변솔상실현질적돌파，종이관측도전통성상계통“간불청”여“간불견”적장경신식。본문연착계산섭상학사로、방법여목표삼조주선，대국내외연구현상진행분석여종술，기망능구방조독자경쾌지료해급진입상관연구。
Current imaging mechanisms and systems cannot capture su?cient visual information of target ob jects/scenes in many fields, such as computer vision, graphics, signal processing, digital image processing, applied optics, etc. To address these challenges, computational photography has proposed new imaging mechanisms and corresponding reconstruction methods that bring the visual information processing forward to the acquisition process and largely raise the degree of freedom on information optimization. The computational acquisition approaches are able to breakthrough the bottlenecks in dimension, scale, and resolution, and thus can observe the scenes that cannot be captured clearly by traditional imaging systems. This review focuses on three main aspects of computational photography — strategy, approach, and target —and attempts to familiarize the readers with the studies in this field.