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CP-lecture14-Deconvolution
Outline Sources of blur Deconvolution Blind deconvolution Why are our images blurry? Lens imperfections aberration chromatic aberration diffraction 衍射 Camera shake Scene motion Depth defocus Point spread function (PSF): The blur kernel of a lens原创 2021-02-19 16:20:03 · 106 阅读 · 0 评论 -
CP-lecture12-Focal stacks and lightfields
Outline Focal stack. Confocal stereo. Lightfield. Measuring lightfields. Plenoptic camera. Focal Stack capture images focused at multiple planes, and merge them into a single all in-focus image analogous to what we did in HDR, focal stack instead of expo原创 2021-02-19 13:59:37 · 262 阅读 · 0 评论 -
CP-lecture07-Noise
Outline Sensor noise. Noise calibration. Optimal weights for HDR Sensor Noise Note: we will only consider per-pixel noise. We won’t consider cross-pixel effects such as blooming , smearing, cross-talk… Where does the noise come from Poisson distributio原创 2021-02-14 11:54:43 · 267 阅读 · 0 评论 -
CP-lecture06-Exposure and High Dynamic Range Imaging
Exposure and high dynamic range imaging Overview Exposure control. Light metering. Our devices do not match the world. High dynamic range imaging. Radiometric calibration. Other aspects of HDR imaging. Tonemapping. Exposure control Exposure=Gain×Irradian原创 2021-02-11 17:39:28 · 164 阅读 · 0 评论 -
Concepts in Image Processing
Mpq=def∑x∑yxpyqI(x,y) M_{pq}\xlongequal{def}\sum_x \sum_y x^p y^q I(x, y) Mpqdefx∑y∑xpyqI(x,y) so the centroid of image is (x,y)=(M10M00,M01M00) (x,y) = \left( \frac{M_{10}}{M_{00}},\frac{M_{01}}{M_{00}} \right) (x,y)=(M00M10,M00M01) compute mom原创 2021-01-30 13:33:54 · 128 阅读 · 1 评论