File:ScaleSpaceKernels.png
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ScaleSpaceKernels.png (304 × 486 pixels, file size: 7 KB, MIME type: image/png)
Summary
| Description |
English: Scale-space kernels, comparing ideal discrete gaussian based on bessel function (red) with two-pole-pair forward/backward smoothers. Using alpha=1, t=1:5, pole position exp(-s) and exp(s) with s = sqrt(alpha*t)/4. |
| Date | |
| Source | Own work |
| Author | Dicklyon at English Wikipedia |
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Licensing
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This work has been released into the public domain by its author, Dicklyon at English Wikipedia. This applies worldwide. In some countries this may not be legally possible; if so: Dicklyon grants anyone the right to use this work for any purpose, without any conditions, unless such conditions are required by law. |
Original upload log
The original description page was here. All following user names refer to en.wikipedia.
| Date/Time | Dimensions | User | Comment |
|---|---|---|---|
| 2006-09-05 06:48 | 304×486× (7235 bytes) | Dicklyon | Scale-space kernels, comparing discrete Gaussien (red) with symmetric pole-pair response (blue) using pole position of Z = 1 + 2/t - sqrt((1 + 2/t)^2 - 1) and its reciprocal, to match transfer function curvature at DC, which obeys a semi-group property. |
| 2006-09-05 06:42 | 0×0× (72313 bytes) | Dicklyon | Scale-space kernels, comparing discrete Gaussien (red) with symmetric pole-pair response (blue) using pole position of Z = 1 + 2/t - sqrt((1 + 2/t)^2 - 1) and its reciprocal, to match transfer function curvature at DC, which obeys a semi-group property (a |
| 2006-08-26 05:39 | 381×531× (10084 bytes) | Dicklyon | Scale-space kernels, comparing ideal discrete gaussian based on bessel function (red) with two-pole-pair forward/backward smoothers. Using alpha=1, t=1:5, pole position exp(-s) and exp(s) with s = sqrt(alpha*t)/4. |
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File history
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 03:55, 14 June 2022 | | 304 × 486 (7 KB) | wikimediacommons>OgreBot | (BOT): Reverting to most recent version before archival |
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