Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling
arXiv:2402.06212v11 citationsh-index: 8Proc Int Disp Work
Originality Synthesis-oriented
AI Analysis
This addresses display quality issues for users of imaging systems, but it appears incremental as it builds on existing LHE methods.
The paper tackled halo artifacts in display systems by proposing a method to reduce them in Local Histogram Equalization algorithms, resulting in visually natural images through separate handling of dark and light variants and modeling the human visual system.
Halo artifacts significantly impact display quality. We propose a method to reduce halos in Local Histogram Equalization (LHE) algorithms by separately addressing dark and light variants. This approach results in visually natural images by exploring the relationship between lateral inhibition and halo artifacts in the human visual system.