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Related Experiment Video

Updated: Jun 19, 2026

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

Image thumbnails that represent blur and noise.

Ramin Samadani¹, Timothy A Mauer, David M Berfanger

¹Hewlett-Packard Labs, Multimedia Communications andNetwork Lab, Palo Alto, CA 94304 USA. ramin.samadani@hp.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|November 6, 2009

Summary

This summary is machine-generated.

New image thumbnails preserve blur and noise information from originals, aiding quality assessment. This efficient algorithm helps users quickly identify high-quality images during browsing.

Related Experiment Videos

Last Updated: Jun 19, 2026

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Quantifying Microglia Morphology from Photomicrographs of Immunohistochemistry Prepared Tissue Using ImageJ

Published on: June 5, 2018

Area of Science:

Computer Vision
Image Processing
Digital Signal Processing

Background:

Standard image thumbnails lose original blur and noise details.
This loss hinders distinguishing between high-quality and low-quality images during browsing.

Purpose of the Study:

To develop an efficient algorithm for generating thumbnails that preserve local blur and noise.
To improve image browsing by enabling better quality assessment.

Main Methods:

Utilizing a scale-space expansion to estimate local blur in thumbnails.
Applying a space-varying blur based on the estimated local blur.
Employing multirate signal transformations for noise estimation and rendering at lower sampling rates.

Main Results:

New thumbnails effectively represent original image blur.
The blur-generating component is consistently advantageous.
The noise-generating component benefits noisy images but can degrade textured images.

Conclusions:

The proposed thumbnail generation method enhances image quality identification.
The blur component is recommended for all applications.
The noise component's use requires application-specific testing based on image content.