Search Results for: dither

For the past few days, I’ve been trying to determine — yet again, with new criteria —  how much read noise is necessary to properly dither an analog to digital converter of a given precision. Specifically, I’m trying to figure out what the relationship is between dither and quantizing precision when resolving detail is the… [Read More]

Yesterday and the day before, I wrote a post aimed at discovering the relationship between dither and quantizing precision when resolving detail was the main criterion. The conclusion was that, just as for the avoidance of posterization (see here, here, and here), half a least-significant bit (LSB) was enough noise for most purposes. For critical… [Read More]

Yesterday I wrote a post aimed at discovering the relationship between dither and quantizing precision when resolving detail was the main criterion. The conclusion was that, just as for the avoidance of posterization (see here, here, and here), half a least-significant bit (LSB) was enough noise for most purposes. For critical judgements, it looked like… [Read More]

I’ve done several studies on how much noise dither is enough to eliminate posterization. How read and quantizing noise interact Read noise and quantizing, again More on read noise and quantizing The answer, for Gaussian noise dithering, is about 0.5 the least significant bit voltage, rms. When you’re doing the judging visually, in the tests… [Read More]

In the previous post, I looked at photon shot noise, a fundamental noise source arising from the quantum nature of light. Today I’ll examine a different kind of noise: one that’s not random from frame to frame, but rather baked into the sensor itself: Pixel Response Non-Uniformity, or PRNU. PRNU refers to pixel-to-pixel variation in… [Read More]