Advanced techniques available with manual profiling

As advised in the Step 1. Preparing a regular image for noise analysis, the image used for noise analysis should contain enough uniform featureless areas. If the input image does not contain such areas then an alternative image from the same series can be used. With manual profiling, there are several advanced profiling techniques available that use one or two images. Below is the list of these techniques sorted from the most desirable to the least desirable (from the standpoint of profiling accuracy):

1. Use a 100x100+ uniform featureless area in the input image for rough analysis;
   then fine-tune the profile using several other uniform featureless areas in the same image;
   
   
2. Do (1) with an alternative image (may be an image of the Calibration Target or a regular image) from the same camera (scanner) shot (scanned) in similar conditions; then additionally fine-tune the profile using the input image;*
   
   
3. Do (1) with another image from another camera (scanner) of the same model shot (scanned) in similar conditions; then additionally fine-tune the profile using the input image;
   
   
4. Get a ready-made profile built with a similar image from another camera (scanner) of the same model; then additionally fine-tune the profile using the input image;
   
   
5. Do (1) starting with a smaller (60x60-100x100) uniform featureless area in the input image;
   
   
6. Cut out a 59x59 or smaller uniform featureless area from the input image and (preferably seamlessly, as much as possible) clone it in an image editor to produce a 60x60+ area; do (1) with the resulting larger area;
   
   
7. Up-sample your image (using your favorite resampling method) in an image editor; do (1) with the up-sampled image; process the up-sampled image in Neat Image (do not process original image with such a profile); down-sample the result in the image editor.

* Here and below, when additional fine-tuning is applied using the input image, the equalizer values should not change much (say, by more than +/-30%) if the two images were indeed shot (scanned) in similar device modes. If the equalizer values do change a lot, consider doing (1) with another image that is closer to the input image.