Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes
IEEE Transactions on Visualization and Computer Graphics
Perceptual evaluation of tone mapping operators
ACM SIGGRAPH 2003 Sketches & Applications
The Naturalness of Reproduced High Dynamic Range Images
IV '05 Proceedings of the Ninth International Conference on Information Visualisation
PG '07 Proceedings of the 15th Pacific Conference on Computer Graphics and Applications
Dynamic range independent image quality assessment
ACM SIGGRAPH 2008 papers
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Information Content Weighting for Perceptual Image Quality Assessment
IEEE Transactions on Image Processing
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
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There has been an increasing number of tone mapping algorithms developed in recent years that can convert high dynamic range (HDR) to low dynamic range (LDR) images, so that they can be visualized on standard displays. Nevertheless, good quality evaluation criteria of tone mapped images are still lacking, without which, different tone mapping algorithms cannot be compared and there is no meaningful direction for improvement. Although subjective assessment methods provide useful references, they are expensive and time-consuming, and are difficult to be embedded into optimization frameworks. In this paper, we propose a novel objective assessment method that combines a multiscale signal fidelity measure inspired by the structural similarity (SSIM) index and a naturalness measure based on statistics on the brightness of natural images. Validations using available subjective data show good correlations between the proposed measure and subjective rankings of LDR images created by existing tone mapping operators.