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There are numerous approximate color transforms reported in the literaturethat aim to reduce display power consumption by imperceptibly changing thecolor content of displayed images. To be practical, these techniques need to becontent-aware in picking transformation parameters to preserve perceptualquality. This work presents a computationally-efficient method for calculatinga parameter lower bound for approximate color transform parameters based on thecontent to be transformed. We conduct a user study with 62 participants and6,400 image pair comparisons to derive the proposed solution. We use the userstudy results to predict this lower bound reliably with a 1.6% mean squarederror by using simple image-color-based heuristics. We show that theseheuristics have Pearson and Spearman rank correlation coefficients greater than0.7 (p<0.01) and that our model generalizes beyond the data from the userstudy. The user study results also show that the color transform is able toachieve up to 50% power saving with most users reporting negligible visualimpairment.

Content-Aware Automated Parameter Tuning for Approximate Color Transforms