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

摘要

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.