// 2019 · Academic · Research
Personalised JPEG Quantization
First-class honours dissertation at Manchester Metropolitan University exploring whether JPEG image compression could be improved by tailoring quantization tables to individual human visual perception. The research involved building a web-based tool that presented users with perceptual tests, measuring sensitivity to visual distortion across frequency bands.
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year: 2019
category: Academic · Research
tech: JavaScript, Signal Processing, Psychophysics
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