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10 December 2025
- 04:3204:32, 10 December 2025 diff hist +16 Neural Network Implementation of S-CIELAB for Perceptual Color Metrics →References current
- 04:2504:25, 10 December 2025 diff hist +5,834 Neural Network Implementation of S-CIELAB for Perceptual Color Metrics →CNN Implementation
- 04:1704:17, 10 December 2025 diff hist +7,697 Neural Network Implementation of S-CIELAB for Perceptual Color Metrics →Background
- 03:3403:34, 10 December 2025 diff hist 0 N File:Fig6 cnn results.png No edit summary current
- 03:3303:33, 10 December 2025 diff hist 0 N File:Fig5 mlp results.png No edit summary current
- 03:2903:29, 10 December 2025 diff hist 0 N File:Fig4 cnn pipeline.PNG No edit summary current
- 03:2803:28, 10 December 2025 diff hist 0 N File:Fig3 mlp pipeline.PNG No edit summary current
- 03:2603:26, 10 December 2025 diff hist 0 N File:Fig2 tid distort.PNG No edit summary current
- 03:2603:26, 10 December 2025 diff hist 0 N File:Fig1 tid images.PNG No edit summary current
- 03:2003:20, 10 December 2025 diff hist +1,504 Neural Network Implementation of S-CIELAB for Perceptual Color Metrics →Background
- 02:2102:21, 10 December 2025 diff hist +8,053 N Neural Network Implementation of S-CIELAB for Perceptual Color Metrics Created page with "== Abstract == The Spatial CIELAB (S-CIELAB) metric is a widely used perceptual color-difference measure that incorporates both chromatic appearance and spatial properties of the human visual system. Despite its accuracy, S-CIELAB is computationally expensive due to its multi-stage processing pipeline, including opponent-color transformation, frequency-dependent spatial filtering, and nonlinear post-processing. Moreover, these filtering operations rely on fixed convoluti..."
- 01:0701:07, 10 December 2025 diff hist +96 Psych221-Projects-2025-Fall →Projects for Psych 221 (2025-2026)
