A spectrally based framework for realistic image synthesis
We propose a new rendering framework which emphasizes real spectra as input, retains full spectral light-object interactions, and generates spectral images (convertible to RGB images for display). We show that this approach suffices to generate optical effects important for realistic image synthesis. To facilitate implementation, we propose a composite spectral model by decomposing all spectra into a smooth background and a list of spikes. This model is accurate, compact and efficient, and capable of handling spike-related optical effects including dispersion, diffraction, and fluorescence. Finally, we propose using pixel-pixel CIELab histograms to quantitatively evaluate images synthesized with different methods.
realistic image synthesis spectral model spectral rendering optical phenomena error evaluation