{"id":1535,"date":"2009-09-30T05:22:44","date_gmt":"2009-09-30T09:22:44","guid":{"rendered":"http:\/\/www.johnpaulcaponigro.com\/blog\/?p=1535"},"modified":"2009-09-30T05:22:44","modified_gmt":"2009-09-30T09:22:44","slug":"dave-mcdonnell-on-noise","status":"publish","type":"post","link":"https:\/\/www.johnpaulcaponigro.com\/blog\/1535\/dave-mcdonnell-on-noise\/","title":{"rendered":"Dave McDonell on Noise"},"content":{"rendered":"

\"noise1\"
\nDave McDonell, cofounder of Imagenomic<\/span><\/a>,<\/span> the company that makes Noiseware<\/span><\/a>,<\/span><\/span> my favorite noise reduction software weighs in on noise.<\/span>
\nJPC\u00a0\u00a0 \u00a0Where does noise come from?<\/span>
\nDM\u00a0\u00a0 \u00a0There are several factors in a digital camera capture process that contribute to noise. The most prevelant are temperature, the actual capture circuitry, sensor size, and the process of sub-sampling which induces errors between adjacent pixels.<\/span>
\nJPC\u00a0\u00a0 \u00a0Why is chrominance noise so much easier to reduce than luminance noise?<\/span>
\nDM\u00a0\u00a0 \u00a0It\u2019s really not in application. It\u2019s just that you perceive changes in luminosity or brightness much easier than you do in color.<\/span>
\nJPC\u00a0\u00a0 \u00a0Fine color noise is easier to reduce than coarse color noise, like the color patterns created by demosaicing bayer patterns. When are you most likely to encounter this type of noise? How should you treat it differently? How far can you go?<\/span>
\nDM\u00a0\u00a0 \u00a0There are no hard and fast rules for any of the above questions as all are dependent on the capture situation and subsequent output medium.<\/span><\/p>\n