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Showing posts with the label Test

Panoramic Lens Substitution

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  Background Since I first started taking photos, I was interested in taking panoramas. I was both inexperienced and the tools accessible to normal photographers at that time where very limited. My early attempts were made using tripods, attempting to mount the camera close to the center of the nodal point of the lens, and then very carefully manually stitching photos together.  Lacking the correct and expensive tools, the process was tedious, and error prone One of my first attempts at a Panorama Eventually I stopped attempting panoramic images as the results where never very successful. (I did try other ideas circa 2007)  Revisited That eventually changed when a technique  Ryan Brenizer  became popular somewhere around 2012-2014. ( I can't recall when I first encountered it) This method was taking a long fast lens and taking photos to cover the entire area of what a larger format would cover.  The result is both an impossibly thin depth of field combined ...

Foveon Color differences?

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As a general rule, your camera shouldn't have too much of an impact of the look of your photos if you are shooting in RAW and should reflect what you are trying to accomplish. The one exception in my experience has been the Sigma Foveon based sensor cameras. ( Samples ) The reason being that because they infer color quite differently than the normal Bayer pattern cameras and there is generally more room for them to not get the same color under similar conditions. They seem to be less accurate, but sometimes in ways that I find desirable. That said, in most situations this should be mostly compensated by editing choices. As a matter of practice, I figured I would try and match my two most commonly used cameras at the current time. My Panasonic S1R and the Sigma SDQH What's actually interesting about these two cameras is that the Panasonics effective 47mp, and the SDQH's 38mp (Stacked) should work out to have a similar performance in resolving details as the Bayer pattern giv...