Enhanced high dynamic‐range image rendering using a surround map based on edge‐adaptive layer blurring

Abstract

Many tone‐mapping methods have developed efficient tone compression and local contrast enhancement techniques for high dynamic‐range imaging. Local tone mapping enhances the image quality to reveal the details; however, it causes artefacts such as halos. Halo artefacts appear around the edges of an image and lead to deterioration in the overall image quality. Detail‐base separation and multi‐scale methods have been developed to reduce halo artefacts. Detail‐base separation methods divide the image into a detail layer and base layer using an edge‐preserving filter and process each layer independently. Multi‐scale methods alleviate artefacts such as halos, noise, and awkward global toning using a weighted sum of single‐scale images. These methods have several inherent problems including the complexity of the edge‐preserving filter and multi‐processing redundancy. Therefore, in this study, a novel surround map is presented to resolve halo artefacts and enhance local details in single‐scale processing.

Keywords

• enhanced high dynamic-range image rendering
• surround map
• edge-adaptive layer blurring
• tone-mapping method
• tone compression
• contrast enhancement technique