M101 reworked

28 May 2010

After spending so much time learning new imaging processing techniques on M88, I thought I’d apply some of those new techniques to the M101 image data from earlier in the year.

The results are what you see here.

For those who are interested, here is a copy of my image processing notes for Fitswork:

Load fits32rat of m101_9
Pixel Arithmetic -> Logarithmic
Use background flatten -> variable flatten
Blur Filter -> Median Blur 21,1
Color Image to B&W (Luminance)
Blur Filter -> Gaussian Blur Filter (Luminance) 10.4, 100
Pixel Arithmetic -> Multiply Value (Luminance) 0.05
(select color image)
Subtract Image (select gaussian blurred luminace)
Now take original Luminance image
Cutoff at high boundary 0.02
Cutoff at low boundary 0.02
for high boundary image, iter gauss sharp 4, 5, 400
for low boundary image, iter gauss sharp 2.4, 5, 400
Add low and high together
Image Combine -> L+RGB not scaled
Color -> Saturation