[RESPDAM-89] Bluriness for focal point variations Created: 07/Aug/23 Updated: 21/Aug/23 |
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| Status: | Open |
| Project: | DAM Focal |
| Component/s: | None |
| Affects Version/s: | None |
| Fix Version/s: | None |
| Type: | Bug | Priority: | Neutral |
| Reporter: | Christoph Damm | Assignee: | Adrien Manzoni |
| Resolution: | Unresolved | Votes: | 0 |
| Labels: | None | ||
| Remaining Estimate: | Not Specified | ||
| Time Spent: | Not Specified | ||
| Original Estimate: | Not Specified | ||
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Doc/release notes changes? Comment present?
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Downstream builds green?
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Solution information and context easily available?
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FixVersion filled and not yet released
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Architecture Decision Record (ADR)
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Steps to reproduce, expected, and actual results filled
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| Description |
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Hello, We're using the focal points module for a client and i can observe some bluriness on pictures which I can't explain. Background:
Issue:
Please find attached an example of images: 1) original jpeg (downloaded from asset app) 2) original webp returned from focal point , req via: .imaging/focalpoint/original/dam/jcr:...../...... 3) return of focalpoint with width 982, req via: .imaging/focalpoint/default/958x/dam/jcr:...../......
Focal point is defined like this via decorator:
variations: !override
default:
description: 16x9 Standard
minHeight: 144
minWidth: 256
ratio: 16/9
allowedWidths:
- 256
- 426
- 640
- 848
- 958
- 1024
- 1262
- 1280
- 1600
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| Comments |
| Comment by Raphael Falvo [ 15/Aug/23 ] |
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Hello chrisD , Could you please specify the version of Magnolia and the DAM Focal module in which you encountered this issue? |
| Comment by Marvin Kerkhoff [ 21/Aug/23 ] |
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We found the bluriness in Version 6.2.34 and version 2.4 of focal module. My guess is that the issue is not dependend on the focal module only. We also know that in some image cases the original magnolia resizer is not perfect. In our own magnolia image module we have used https://github.com/rkalla/imgscalr in the past. But since this lib is not updated by the maintainer anymore we have some security issues with dependencies here https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-15250
I would not recommend the imgscalr lib anymore but i highly suggest checking other libs which result in sharper results. Often you can recognize blurry outlines in cut out product images on white backgrounds. If you use the imgscalr they are extremly sharp without a huge change in filesize. |