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Leica M9 dark field images

November 2, 2014 JimK Leave a Comment

Here are the images from the preceding post. As usual in this read noise analysis series, they have been scaled into the range [0,1],  have had a gamma curve of 2.2 applied , been res’d down to 640×480, and JPEG’d.

ISO 160, no filtering:

ISO 160, no filtering
ISO 160, no filtering

Note the commendable lack of hot pixels. I wonder if that’s design, luck, or firmware…

With a 25-pixel kernel in three flavors:

ISO 160, horizontal averaging kernel, 25 pixels
ISO 160, horizontal averaging kernel, 25 pixels
ISO 160, vertical averaging kernel, 25 pixels
ISO 160, vertical averaging kernel, 25 pixels
ISO 160, square averaging kernel, 152 pixels
ISO 160, square averaging kernel, 152 pixels

That’s interesting; there appears to be that the right and left halves of the array are different from each other, and that there is a discontinuity where they meet.

Normally I’d show you ISO 2500, but the curves made it clear that you don’t ever want to use that setting, so I’ll show you ISO 1250.

First, with no filtering:

ISO 1250, no filtering
ISO 1250, no filtering

Now, with three 25-pixel kernels:

ISO 1250, horizontal averaging kernel, 25 pixels
ISO 1250, horizontal averaging kernel, 25 pixels
ISO 1250, vertical averaging kernel, 25 pixels
ISO 1250, vertical averaging kernel, 25 pixels
ISO 1250, square averaging kernel, 25 pixels
ISO 1250, square averaging kernel, 25 pixels

With three 152 pixel averaging kernels:

 

ISO 1250, horizontal averaging kernel, 152 pixels
ISO 1250, horizontal averaging kernel, 152 pixels

 

ISO 1250, vertical averaging kernel, 152 pixels
ISO 1250, vertical averaging kernel, 152 pixels
ISO 1250, square averaging kernel, 152 pixels
ISO 1250, square averaging kernel, 152 pixels

 

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