# How reliable is image matching after compression and resizing?

**URL:** <https://forum.opencv.org/t/how-reliable-is-image-matching-after-compression-and-resizing/24733>\
**Category:** Uncategorized\
**Created:** [October 1, 2026, 5:41am UTC](https://forum.opencv.org/t/how-reliable-is-image-matching-after-compression-and-resizing/24733 "2026-10-01T05:41:31Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Copyseeker](https://avatars.discourse-cdn.com/v4/letter/c/9d8465/32.png) [@Copyseeker](https://forum.opencv.org/u/Copyseeker)\
**Post date:** [October 1, 2026, 5:41am UTC](https://forum.opencv.org/t/how-reliable-is-image-matching-after-compression-and-resizing/24733/1 "2026-10-01T05:41:31Z")

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**How reliable is image matching after compression, resizing, and cropping?**

I’m looking into image matching for reverse image search, especially when an image has been resized, compressed, screenshotted, or slightly cropped.

How reliable are OpenCV-based approaches such as ORB or SIFT in these situations? Are there preprocessing or matching techniques that work better when the image has been heavily compressed or modified?

I’m particularly interested in approaches for identifying whether two images are actually the same source despite these changes.