Tuesday, February 3, 2009
D-SLR State Of The Art, Part II
What to know about the latest digital sensors, ISO and image quality
Since demosaicing (converting the monochrome sensor image to color) and sharpening require lots of computing horsepower, a case can be made that these are better done in your computer via RAW-conversion software than in-camera—just one benefit of shooting RAW images over JPEGs and TIFFs. RAW-conversion software is improving at least as rapidly as D-SLR technology, including noise-reduction performance. In fact, you can reprocess your older RAW images in the newer RAW converters for even better results than you got when you originally processed them, which is another great reason for shooting RAW images rather than JPEGs.
Balancing Noise and Sharpness
Noise-reduction methods all reduce image sharpness. Conversely, sharpening an image increases the appearance of noise. So D-SLR manufacturers have to do a balancing act between optimal noise reduction and good image sharpness. The powerful image-processing engines and noise-reduction algorithms do an amazingly good job of this.
Some D-SLRs automatically apply noise reduction when high ISOs are set or long exposure times are used. Some cameras let you switch noise reduction on or off as desired, and some even provide various levels of noise reduction you can use to suit specific shooting needs.
Another benefit of RAW images is that you can adjust both noise reduction and sharpening when you process them in your computer. You also can apply noise reduction and sharpening to JPEGs, but the results won’t be as good because most JPEGs have already been sharpened in-camera and are all lossy-compressed.
Whatever methods you use for controlling noise, we still prefer a sharp shot with noise over a blurry shot without it. If you need to increase your ISO to get an adequate shutter speed, don’t let concern about noise stop you.
Whatever methods you use for controlling noise, we still prefer a sharp shot with noise over a blurry shot without it. If you need to increase your ISO to get an adequate shutter speed, don’t let concern about noise stop you.
Does Size Matter?
All other things being equal, big pixels are better than small ones, and more pixels are better than fewer pixels. So the big question is: Are more smaller pixels better than fewer bigger ones?
Let’s start with a little math. You can get a good estimate of the size of the pixels on a given image sensor by dividing the sensor’s horizontal dimension by its maximum horizontal resolution. For example, the Nikon D300’s 12.3-megapixel sensor measures 23.6x15.8mm and its maximum image resolution is 4288 x 2849 pixels—23.6mm divided by 4288 pixels equals 0.0055mm per pixel. (For an easier-to-handle number, you can move the decimal point three places to the right to get the pixel size in microns, 5.5 microns in this case.)
Nikon’s D3 has a 12.1-megapixel, full-frame sensor measuring 36.0x23.9mm and delivers a maximum resolution of 4256 x 2832 pixels—roughly the same number of pixels but on a much larger sensor. So, doing the math (36mm di-vided by 4256 pixels) gives us a pixel size for the D3 of 8.5 microns—much bigger than the D300’s 5.5-micron pixels. And indeed, the D3’s image quality is better than the D300’s, in large part due to its much larger pixels. (The D300’s image quality is excellent; the D3’s is simply better.) The D3 also offers much higher ISO capability than the smaller-pixel D300.
Page 3 of 5






























2 Comments