Hello,
I am trying to make night shots with a ccd camera. The maximum exposure time that can be set on the camera is 750 ms, which is of course too short. Assuming the noise is random and the object I want to see does not move, I should be able to improve signal-to-noise by taking the same shot several times and adding all the images together (using an iterative shell script which adds each successive image to the "sum" image, starting from a black image with the correct size and depth): the noise should "cancel out" and the signal should accumulate. As adding many layers of noise will eventually saturate the image, I decided to use the quantum:format=floating-point option.(support is compiled in) and I save to the "miff" format. Now for the questions: - is it correct that both the "display" and the "identify" programs and the "histogram" option of convert have trouble handling this floating-point format? - supposing the adding worked fine, what would be the best way to convert the result to a "normal" image for viewing on the screen (8 bits per channel) while preserving as much information/contrast/image quality as possible (without a priori knowledge about intensity distributions or object shape etc.) thanks for your help, Klaas P.S.: I correct each image with bias and dark images before adding them to the sum _______________________________________________ Magick-users mailing list [email protected] http://studio.imagemagick.org/mailman/listinfo/magick-users
