KEYWORDS: High dynamic range imaging, Visualization, Image segmentation, Image processing, Visual process modeling, Optical filters, Contrast sensitivity, RGB color model, Image filtering, Visual system
High dynamic range (HDR) images are rendered through base-detail separations. The representative detail preserved algorithm iCAM06 has a tendency to reduce the sharpness of dim surround images, because of the discrete calculation of the fast-bilateral filter (FBF). This paper proposes a noble base-detail separation and detail compensation technique using the contrast sensitivity function (CSF) in the segmented frequency domain. Experimental results show that the proposed rendering method has better sharpness features than previous methods correlated by the human visual system.
Film-type patterned retarder (FPR) three-dimensional (3D) displays differ from two-dimensional (2D) displays with respect to two distinct features: (1) vertical subsampling caused by a film circularly polarized on a display and (2) luminance loss caused by 3D glasses. To reveal the negative effects of these differences, we analyze the spectrum of an image on an FPR 3D display and investigate the contrast sensitivity of human vision for that image. Based on the analysis results, a preprocessing method is proposed for the aliasing problem caused by the vertical subsampling. In addition, because contrast sensitivity decreases with decreasing luminance, we propose sharpness compensation based on Barten’s contrast sensitivity function model. The proposed method performs more effectively than other methods in terms of 3D image representation.
An image toning method for low dynamic range image compression is presented. The proposed method inserts tone mapping into JPEG baseline instead of postprocessing. First, an image is decomposed into detail, base, and surrounding components in terms of the discrete cosine transform coefficients. Subsequently, a luminance-adaptive tone mapping based on the human visual sensitivity properties is applied. In addition, compensation modules are added to enhance the visually sensitive factors, such as saturation, sharpness, and gamma. A comparative study confirms that the transmitted compression images have good image quality.
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