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

© The Institution of Engineering and Technology
Received 22/05/2015, Accepted 04/04/2016, Revised 17/03/2016, Published 05/04/2016

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.

Inspec keywords: image filtering; rendering (computer graphics); image enhancement

Other keywords: edge-adaptive layer blurring; enhanced high dynamic-range image rendering; halo artefact; awkward global toning; multiprocessing redundancy; multiscale method; base layer; tone compression; single-scale processing; detail-base separation method; edge-preserving filter; detail layer; surround map; tone-mapping method; image quality; contrast enhancement technique

Subjects: Optical, image and video signal processing; Graphics techniques; Computer vision and image processing techniques; Filtering methods in signal processing

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