--- In DigitalBlackandWhiteThePrint@yahoogroups.com, "Austin Franklin" <darkroom@i...> wrote: > I'm still not quite convinced of this claim, as it > seems entirely unnecessary...when using random/stochastic > dither algorithms, like the Epson supposedly does. > These dither algorithms don't use fixed cell size, so > I'm not clear of what the benefit of resizing the image is. Random/stochastic algorithms certainly CAN use a fixed cell size! Let's take an ULTRA-simplistic case of black-only printing where some primitive printer's resolution is the same as the image resolution, i.e., a hypothetical printer with 300x300 DPI resolution printing a 1" grayscale patch of 300x300 pixels. And let's say the driver uses a fixed cell size and a stochastic algorithm. Say the image uses 8-bit grayscale. For each pixel the driver will generate a random number in the range of 0-255 and compare it to the pixel being printed. If it's greater than the pixel value it deposits a drop. As you can see, when the pixel has a low value there is a statistically greater chance of a drop beng generated so it's darker where the pixels have low values. If the printer's resolution is higher, let's say, 600x600 DPI, then it will print the same image-pixel 4 times, but because each time it's being compared to a different random number, it may or may not print a dot - the probability of printing a dot depends on the value of the pixel. That's why it's called stochastic. So the problem with a fixed cell size is not that you can't use it with a stochastic algorithm; the big problem with a fixed cell size is that you don't get enough levels, even with a high resolution printer. Again, using black-only and a 300 PPI image, and let's assume we have designed our test image so no two adjacent pixels are identical: Suppose the printer is the Epson 2200, which has a maximum resolution of 1440 x 2880 DPI. One image pixel at 300x300 PPI has the area of 1/90000th of a square inch. In a 90000th of an inch the 2200 can place approximately 46 dots at maximum resolution. That's nowhere NEAR the 256 possible values that the incoming pixel could have, nor is it near the 100 or so levels the human eye needs to see a smooth tonal range without banding. This dilemma clearly illustrates why dithering algorithms are ALWAYS tradeoffs between spatial and value resolution. The only way to extend the value range in this example is to increase the cell size, but when you do that you overlap the value of multiple pixels in the original image, so you lose the ability to distinguish two adjacent pixels in the original that we so carefully designed to be distinct. In this thread people talk about "The Epson Driver" but my guess, as a former inkjet driver writer, is that different Epsons have different drivers, or at least different algorithms in different situations. The tests I've run on black-only printing on the 2200 show that source resolution holds up pretty well but the images are contrasty, which suggests to me that they are using something close to a fixed cell size and trading away tonal range to keep spatial resolution. However, the cell size may have nothing to do with incoming image resolution - the driver probably RESAMPLES the incoming image. If this is the case there may be, if not an "optimal" resolution, then at least a maximum one. And while we're on the subject - DPI refers to the printer output - printers make dots. If you're talking about the resolution of the image it's more correct and less confusing to refer to PPI. BTW, the test on this lecture is worth 30% of your grade.
Message
Re: [Digital BW] Optimal DPI
2003-02-27 by Peter Nelson <peter@studio-nelson.com>
Attachments
- No local attachments were found for this message.