Contrast Optimization And Local Adaptation (COALA) for HDR Compression
This addresses image quality issues in HDR compression for applications like photography and display technology, representing a novel method for a known bottleneck.
The paper tackles high dynamic-range compression by formulating it as a regularized optimization to preserve local contrast, resulting in a method capable of drastic dynamic-range compression while avoiding artifacts like halos and gradient reversals.
This paper develops a novel approach for high dynamic-range compression. It relies on the widely accepted assumption that the human visual system is not very sensitive to absolute luminance reaching the retina, but rather responds to relative luminance ratios. Dynamic-range compression is then formulated as a regularized optimization in which the image dynamic range is reduced while the local contrast of the original scene is preserved. Our method is shown to be capable of drastic dynamic-range compression, while preserving fine details and avoiding common artifacts such as halos, gradient reversals, or loss of local contrast.