The Pentax K20D: a RAW review

Page 3, version 2.0, © 2008 by Dale Cotton, all rights reserved

Intro  Handling  Res  Colour  DR & noise  High ISOs  JPEGs  Human subj.  SR  K10D comp.  Eval

IQ 3: Latitude/DR and noise

Much has been made on-line about the supposed improvements of the K20D in these areas. For latitude, the camera has a dynamic range boost function called D-Range available in the Fn button menu. There is also a JPEG-specific HDR processing option. For noise, the idea is that the increased pixel count of the K20D (14.6 mp) over the K10D (10 mp) comes without the expected penalty of increased noise at a given ISO.

Looking into D-Range first, the best I can find is about a 0.4 stop extension of highlight latitude, but with an equivalent loss in shadow latitude in some shots. Another datum is that D-Range cannot be applied to the 100 ISO, which is the camera's slowest ISO setting. I like Joseph Tainter's theory that nothing more is going on here than underexposure combined with a development curve that bulges a bit in the middle zones. (Any suggestions for testing D-Range are welcome.)

To illustrate the HDR (high dynamic range) option I went into the in-camera development menu and converted the RAW file for Fig. 4 into an HDR JPEG. This site is rated G, so I can't show you the result unless you sign a disclaimer saying you accept responsibility for any damage your eyesight may incur from viewing this level of violence, then click here. I'm sure there is someone somewhere who will appreciate this innovation... (Incidentally: the super-saturation and cyan hue shift are courtesy of the K20D's JPEG processing engine. Enjoy.)

The following seemingly innocuous shot is the method I've been using for years now to extract latitude and noise confessions from reluctant cameras. If you are a gentleman photographer who always works in low to medium contrast light, these results may not interest you; but I, like many others, find that some of the best images have to be wrestled free of their high contrast setting:

Fig. 11: Dale's torture test (100 ISO) (Full size 3.2 mp JPEG. 8.8 mb DNG.)

This was shot in raw at 100 ISO with manual exposure set to just blow the highlights in the brightest part of the frame – in this case the left window edge. To the human eye the room interior was reasonably well lit, while the left window edge was glaring. To the camera, as we see, everything but that window edge is shrouded in darkness.

Here is the same shot but this time with an extreme curve applied in Photoshop to open things up (although the shadow areas are still nothing like as bright as my eye sees them when I look at this scene):

Fig. 12: Brighter view

The red numbers are EVs (exposure values) metered with my trusty old Seiko Digi-Spot handheld lightmeter. The big 16 is where the highlights blow and all the other EVs are darker. If we subtract the red 5.0 in the maw of my silver and black Epson inkjet from 16 we get 11, which tells us that that part of the scene is 11 stops dimmer than the left window edge. As we would expect, we can see in Fig. 13 there is no detail, only noise at 11 stops:

Fig. 13: Close-up showing 100 ISO noise at 11 stops

More troubling is that noise is noticeably present even at a mere 6.5 stops (but understand that this presentation mercilessly reveals latent noise):

Fig. 14: Close-up showing 100 ISO noise at 6.5 stops

This little noise would not be noticeable without the brightening curve and cleans up easily with a bit of noise reduction, but it portends that high ISO shooting could be a bed of roses (meaning: beware of thorns). Here's a crop at 8.5 stops:

Fig. 15: Close-up showing 100 ISO noise at 8.5 stops

The noise level here constitutes roughly half of all pixels and strongly degrades detail. Still: depending on your usage, you may not need detail in the extreme shadow areas. I'm willing to call the K20D's low ISO latitude at somewhere between 7.5 and 8.5 stops if you are. ;) And, of course, this will degrade at higher ISOs.

Technical confirmation

As I've stated repeatedly this is a pragmatic review. I may know something about how to take a photograph, but am not any kind of expert in engineering matters. It was therefore a great relief to me to have some confirmation that I haven't strayed too far from the course in the results I've reported so far.

Note: The following gets rather technical, so feel free to skip to the next page. In summary: the 14.6 mp K20D has somewhat higher noise levels than its 10 mp predecessor, the K10D, and significantly more shadow (dark readout) noise than the competing 10.1 mp Canon 40D and 12.3 mp Nikon D300. The effect of this is to progressively increase shadow noise as ISO increases, and conversely to diminish exposure latitude (scene dynamic range) as ISO increases.

Each pixel on the sensor chip in a digital camera is essentially a photon (light particle) counter, converting light into electricity. After the shutter is released the strength of the electrical signal from each pixel is measured by further circuitry called an Analog to Digital Convertor or ADC.

A big problem is that neither the sensor nor the ADC is perfectly neutral – trace amounts of electrical current called readout noise is generated by the circuits themselves in spite of every technical effort to eliminate this. The amount is so tiny as to be meaningless when compared to the amount of electrical current the results from taking a picture of a reasonably well-lit scene; but in the deep shadow regions of a well-lit scene or when taking pictures in dim light it becomes impossible to distinguish between readout noise and the current the arises from genuine photon counting. The readout noise appears as brightly but falsely coloured speckles, such as those you can see so abundantly in Fig. 13 above.

To further complicate matters every camera's sensor has a single natural ISO or sensitivity level (which is usually, but not always, the lowest ISO setting on the camera). To allow shooting at high ISOs a third device called the Programmable Gain Amplifier or PGA is used to multiply the current coming from the sensor. Not only does the PGA amplify both the readout noise and the real current from the sensor, it is itself an electronic device and so introduces its own electrical noise, however small an amount.

To combat readout noise each sensor has rows of pixels along the edges that are not exposed to light when a picture is taken. Because they are kept in total blackness any signal they generate can only be readout noise. During the in-camera processing of each picture, the readout noise from the dark pixels at the edge of the sensor are recorded along with the signal from the rest of the sensor. The dark readout signal strength is subtracted from the signal strength of each pixel in the image area to help reduce the amount of noise or false-coloured pixels in the final image.

Each time researchers explore new materials and combinations of materials to make a sensor out of and each time engineers come up with a new sensor design they are always juggling trade-offs between increases in good things like resolution and bit depth against bad things like electrical noise. The 14.6 mp sensor (CMOS technology) at the heart of the K20D was a collaborative effort between the research and design teams of Pentax and Korean chip-making giant Samsung. Undoubtedly, their mandate was to increase pixel count while retaining the standard 23.4 x 15.6 mm sensor size and without increasing noise levels over that found in previous sensors.

Because minimal sensor noise is critical to his area of interest, astrophotographer Gordon Goodsman has designed his own software to test camera noise levels by analysing RAW image file data. When the K20D came out engineer Oleg Volkov and Gordon set out to put it through its paces. Here in Gordon's words are what they came up with:

Note: The following text in navy was written by Gordon Goodsman.

ISO  K10D  K200D   K20D  Canon 40D  Nikon D300
100:0.91.52.91.4< 1.0 (not native?)
200:1.82.24.71.61.3
400:3.63.86.62.12.3
800:7.27.39.73.34.0
1600:14.314.416.45.77.5

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