No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement

Understand

No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image.

• However, contrast distortion has been overlooked in the current research of NR-IQA.
• In this paper, we propose a very simple but effective metric for predicting quality of contrast-altered images based on the fact that a high-contrast image is often more similar to its contrast enhanced image.
• Specifically, we first generate an enhanced image through histogram equalization.