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1. Color Crafting: Automating the Construction of Designer Quality Color Ramps

   https://doi.org/10.1109/TVCG.2019.2934284  

   Smart, Stephen; Wu, Keke; Szafir, Danielle Albers (January 2020, IEEE Transactions on Visualization and Computer Graphics)

   Visualizations often encode numeric data using sequential and diverging color ramps. Effective ramps use colors that are sufficiently discriminable, align well with the data, and are aesthetically pleasing. Designers rely on years of experience to create high-quality color ramps. However, it is challenging for novice visualization developers that lack this experience to craft effective ramps as most guidelines for constructing ramps are loosely defined qualitative heuristics that are often difficult to apply. Our goal is to enable visualization developers to readily create effective color encodings using a single seed color. We do this using an algorithmic approach that models designer practices by analyzing patterns in the structure of designer-crafted color ramps. We construct these models from a corpus of 222 expert-designed color ramps, and use the results to automatically generate ramps that mimic designer practices. We evaluate our approach through an empirical study comparing the outputs of our approach with designer-crafted color ramps. Our models produce ramps that support accurate and aesthetically pleasing visualizations at least as well as designer ramps and that outperform conventional mathematical approaches. 

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2. Mid- and Far-infrared Color–Color Relations within Local Galaxies

   https://doi.org/10.3847/1538-4357/ac558a  

   Gregg, Benjamin; Calzetti, Daniela; Heyer, Mark (March 2022, The Astrophysical Journal)

   Abstract We present an extensive archival analysis of a sample of local galaxies, combining multiwavelength data from GALEX, Spitzer, and Herschel to investigate “blue-side” mid-infrared (MIR) and “red-side” far-infrared (FIR) color–color correlations within the observed infrared spectral energy distributions. Our sample largely consists of the KINGFISH galaxies, with the important addition of a select few including NGC 5236 (M83) and NGC 4449. With data from the far-ultraviolet (∼0.15μm) through 500μm convolved to common angular resolution, we measure the photometry of kiloparsec-scale star-forming regions 36″ × 36″ in size. Star formation rates (SFRs), stellar masses, and metallicity distributions are derived throughout our sample. Focusing on thef₇₀/f₅₀₀“FIR” andf₈/f₂₄“MIR” flux density ratios (colors), we find that a subsample of galaxies demonstrate a strong IR color–color correlation within their star-forming regions, while others demonstrate uncorrelated colors. This division is driven by two main effects: (1) the local strength of star formation (SF) and (2) the metal content of the interstellar medium (ISM). Galaxies uniformly dominated by high surface densities of SF (e.g., NGC 5236) demonstrate strong IR color–color correlations, while galaxies that exhibit lower levels of SF and mixed environments (e.g., NGC 5457) demonstrate weaker or no correlation—explained by the increasing effect of varying ISM heating and metal content on the IR colors, specifically in the MIR. We find large dispersion in the SFR–L₈(8μm luminosity) relation that is traced by the metallicity distributions, consistent with extant studies, highlighting its problematic use as an SFR indicator across diverse systems/samples. 

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3. Color unified dynamical axion

   https://doi.org/10.1140/epjc/s10052-018-6396-6  

   Gaillard, M. K.; Gavela, M. B.; Houtz, R.; Quilez, P.; del Rey, R. (November 2018, The European Physical Journal C)
4. Seeing Photons in Color

   https://doi.org/10.1145/3592438  

   Ma, Sizhuo; Sundar, Varun; Mos, Paul; Bruschini, Claudio; Charbon, Edoardo; Gupta, Mohit (August 2023, ACM Transactions on Graphics)

   Megapixel single-photon avalanche diode (SPAD) arrays have been developed recently, opening up the possibility of deploying SPADs as generalpurpose passive cameras for photography and computer vision. However, most previous work on SPADs has been limited to monochrome imaging. We propose a computational photography technique that reconstructs high-quality color images from mosaicked binary frames captured by a SPAD array, even for high-dyanamic-range (HDR) scenes with complex and rapid motion. Inspired by conventional burst photography approaches, we design algorithms that jointly denoise and demosaick single-photon image sequences. Based on the observation that motion effectively increases the color sample rate, we design a blue-noise pseudorandom RGBW color filter array for SPADs, which is tailored for imaging dark, dynamic scenes. Results on simulated data, as well as real data captured with a fabricated color SPAD hardware prototype shows that the proposed method can reconstruct high-quality images with minimal color artifacts even for challenging low-light, HDR and fast-moving scenes. We hope that this paper, by adding color to computational single-photon imaging, spurs rapid adoption of SPADs for real-world passive imaging applications. 

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5. Generative Quanta Color Imaging

   https://doi.org/10.1109/CVPR52733.2024.02375  

   Purohit, Vishal; Luo, Junjie; Chi, Yiheng; Guo, Qi; Chan, Stanley H; Qiu, Qiang (June 2024, IEEE)