Contrast enhancement using the Laplacian-of-a-Gaussian filter
CVGIP: Graphical Models and Image Processing
The visible differences predictor: an algorithm for the assessment of image fidelity
Digital images and human vision
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
Comparative Study of Unsharp Masking Methods for Image Enhancement
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Image enhancement by unsharp masking the depth buffer
ACM SIGGRAPH 2006 Papers
Image enhancement using multiscale differential operators
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Edge-preserving decompositions for multi-scale tone and detail manipulation
ACM SIGGRAPH 2008 papers
3D unsharp masking for scene coherent enhancement
ACM SIGGRAPH 2008 papers
Adaptive weighted highpass filters using multiscale analysis
IEEE Transactions on Image Processing
Image enhancement via adaptive unsharp masking
IEEE Transactions on Image Processing
Style-based tone mapping for HDR images
SIGGRAPH Asia 2013 Technical Briefs
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Countershading is a common technique for local image contrast manipulations, and is widely used both in automatic settings, such as image sharpening and tonemapping, as well as under artistic control, such as in paintings and interactive image processing software. Unfortunately, countershading is a double-edged sword: while correctly chosen parameters for a given viewing condition can significantly improve the image sharpness or trick the human visual system into perceiving a higher contrast than physically present in an image, wrong parameters, or different viewing conditions can result in objectionable halo artifacts. In this paper we investigate the perception of countershading in the context of a novel mask-based contrast enhancement algorithm and analyze the circumstances under which the resulting profiles turn from image enhancement to artifact for a range of parameters and viewing conditions. Our experimental results can be modeled as a function of the width of the countershading profile. We employ this empirical function in a range of applications such as image resizing, view dependent tone mapping, and countershading analysis in photographs and works of fine art. © 2012 Wiley Periodicals, Inc.