All of the above computational methods(deconvolution based) post-process an image that already contains glare. In HDR scenes with significant veiling glare these methods will perform poorly, as signal-to-noise ratios are low in the presence of strong glare. To overcome this, glare must be physically removed before it is recorded.
While these methods(light transportation) can be used to characterize glare, they do not provide an avenue for separating out glare before it is recorded on the camera image sensor.
methods to remove glare:
-- direct/global components separation
Multiple exposure HDR is limited by veiling glare that is scene-, exposure-, aperture-, and camera-dependent. The accuracy of scene-luminances estimates varies with all these parameters.
Glare is the scene- and camera- dependent scattered light falling on image sensors.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment