This figure compares the brightness similarity between the original image and the enhanced images obtained using three different techniques: fuzzy set image enhancement (A), histogram equalization (B), and wavelet transform (C).

<p>This figure compares the brightness similarity between the original image and the enhanced images obtained using three different techniques: fuzzy set image enhancement (A), histogram equalization (B), and wavelet transform (C).</p>

Saved in:

Bibliographic Details
Main Author:	Manqi Li (22633830) (author)
Other Authors:	Lili Ren (174380) (author)
Published:	2025
Subjects:	Neuroscience Biotechnology Evolutionary Biology Space Science Information Systems not elsewhere classified wavelet transform methods preserving cultural heritage methodology steps start extract image features convolutional neural network museum collection images cosine similarity algorithm fuzzy set theory fuzzy set fuzzy sets work underscores targeted similarity studying history study introduces smoothing processes research showcases quality significantly processed images overall quality ongoing research histogram equalization full potential eliminating noise distinctive aspect average contrast allowing us
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

This figure compares the brightness similarity between the original image and the enhanced images obtained using three different techniques: fuzzy set image enhancement (A), histogram equalization (B), and wavelet transform (C).

Similar Items