Studies of Aberration between Eyes and Image for Human Vision

[[abstract]]鑒於鮮少有研究是針對人眼視覺辨識與圖像(影像)像差之間的影響關聯度進行探討，故本研究首先以人眼模型及計算了解人眼系統之極限視角，進一歩以模型眼數據模擬眼球求得模型眼對各空間頻率下之解析能力(ＥＴＦ) Eye Tranfer Function及Zernike多項式之不同像差的差異。在以完美之光學系統在像平面上成像之點擴散與ＥＴＦ的關係，設計空間頻率下之像差圖像，以此圖代替光學系統之成像的像差情況及ＥＴＦ的關係，以人眼於同視角下依不同距離辨識之。模擬人眼得眼球之光學系統的最高解析能力。人眼量測得視覺辨識系統所型成之像差圖像的最底辨識能力。將模擬與量測所得之範為可得人眼在個各空間頻率下可辨識之區域，此範為即近似人眼可辨視之範圍。[[abstract]]There is only a handful of research in relationship between human eye recognition and image aberration recognition. Hence, this study first investigated human eye anatomy and calculated the maximum view angle of human’s vision. Next step involved utilizing data of a mock-up eye and modeling differences of aberrations in ETF (eye tranfer function)and Zernike polynominal in different of a mock-up eye Base on a perfect optical system, the relationship of image points on a flat image and ETF was analyzed to design the image aberration in different. These modeled aberration image replaced the aberration of an image in a optical system and relationship with ETF. The resulting ETF from modeling was correlated with the minimal recognition ability toward image aberration of human eyes. The ranges of modeling results and actual measurement was analyzed to attain human eyes recognition ability in different