IM review | virtual-pixel, sparse-color and distortions
Posted: 2013-07-30T07:51:37-07:00
Dear All,
this is my first timer on this forum, but I/we use IM for quite a while now. This is basically focused to image conversion and repetitive tasks.
I came across pretty nice features and some questions did occur.
Virtual-Pixel:
Working with image distortions, I noticed that there are loots of different methods for virtual-pixel handling. As command line arguments I tried "-matte -virtual-pixel transparent" and got what I expected.
Question:
How can I get an alpha/matte like when using "transparent" as virtual-pixel method, but when using "edge", "mirror" .. ?
Why:
The resulting image manipulation would be kind of documented and the area of virtual pixel could be accessed in an independent step later on.
Sparse-Color:
Making some tests I came from distortions (Shepards) to this field. I'm interested in the methods handling n-control-points, surely more than three. I provide some examples based on the settings, which I guess Anthony created himself. I only made the canvas 200x200.
Starting from the Voronoi, one can see the sectors around each point. With a blur the borders get fuzzy, depending on the blur radius.
Taking a look at the bilinear version seems to create a very small green area.
Playing around with an old AE plugin, I came across these results: BlendedBounded, BlendedNeighborhood.
And don't say the examples above are very good, but they are much closer to what I was looking for than the following examples: Inverse, Shepards.
Having come so far, I would like to say, that the sparse color concept is pretty cool. I even did not know about it before I read about the shepards distortion. The only thing missing (maybe I'm not familiar with details or overlooked something) is a method or way to get a homogeneous map via sparse color and to be able to use this method also to distort an image. That would be much better, than having a power variable, since the "power/influence" could also be defined by the area-size around a distinct control point.
Great Work, keen to go on.
Best Regards,
rengel
this is my first timer on this forum, but I/we use IM for quite a while now. This is basically focused to image conversion and repetitive tasks.
I came across pretty nice features and some questions did occur.
Virtual-Pixel:
Working with image distortions, I noticed that there are loots of different methods for virtual-pixel handling. As command line arguments I tried "-matte -virtual-pixel transparent" and got what I expected.
Question:
How can I get an alpha/matte like when using "transparent" as virtual-pixel method, but when using "edge", "mirror" .. ?
Why:
The resulting image manipulation would be kind of documented and the area of virtual pixel could be accessed in an independent step later on.
Sparse-Color:
Making some tests I came from distortions (Shepards) to this field. I'm interested in the methods handling n-control-points, surely more than three. I provide some examples based on the settings, which I guess Anthony created himself. I only made the canvas 200x200.
Starting from the Voronoi, one can see the sectors around each point. With a blur the borders get fuzzy, depending on the blur radius.
Taking a look at the bilinear version seems to create a very small green area.
Playing around with an old AE plugin, I came across these results: BlendedBounded, BlendedNeighborhood.
And don't say the examples above are very good, but they are much closer to what I was looking for than the following examples: Inverse, Shepards.
Having come so far, I would like to say, that the sparse color concept is pretty cool. I even did not know about it before I read about the shepards distortion. The only thing missing (maybe I'm not familiar with details or overlooked something) is a method or way to get a homogeneous map via sparse color and to be able to use this method also to distort an image. That would be much better, than having a power variable, since the "power/influence" could also be defined by the area-size around a distinct control point.
Great Work, keen to go on.
Best Regards,
rengel