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Signals & imaging · Medical image enhancement

Medical image enhancement

What is improved when an image looks sharper?

Project account · methods and observations from my study and research notes.

01 / The question

What is improved when an image looks sharper?

Ultrasound and radiographic images were used to study how processing changes visibility, contrast and noise.

Image → representation → decision
Conceptual illustration of the approach

02 / The intuition

A mechanism worth testing.

Distinguish a change in appearance from preservation of useful information. Increasing sharpness can also amplify noise.

03 / The work

Inside the method.

Explore each part of the approach.

01Adjust contrast

Intensity transformations and contrast methods explored the visible range of image structures.

02Filter in two domains

Spatial operators and Butterworth frequency-domain filters were compared.

03Evaluate the changes

Quality metrics and visual inspection examined the consequences of processing.

04 / The observations

What emerged.

The notes describe a range of enhancement experiments and metric calculations. They do not provide a clinical reader study.

This account is based on recorded project notes. Original reports, figures and datasets are not embedded here.

05 / The limits

Where the evidence stops.

A high similarity score or a sharper image does not demonstrate better diagnosis. Source images, reference definitions and evaluation code need to accompany numerical claims.

The academic foundations

Where this work connects.

Programming & computational methodsSignal & image processing
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