Topic
Tone mapping
About: Tone mapping is a research topic. Over the lifetime, 1713 publications have been published within this topic receiving 48490 citations.
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Patent•
05 Nov 2007
TL;DR: In this article, a histogram panel displays low dynamic range and high dynamic range data of the images simultaneously, and the brightness level of the image pixels is the brightness of the pixels.
Abstract: Display methods and interfaces for high dynamic range images. High dynamic range images and corresponding histograms are displayed on a display device. The histogram panel displays low dynamic range and high dynamic range data of the images simultaneously. The low dynamic range and high dynamic range data is brightness level of the image pixels.
17 citations
Patent•
22 Sep 2008
TL;DR: In this paper, local shading of fine contrast variations in an image, with particular advantage in tone mapping applications, is performed by the preferred degree of increased image contrast 810, including compensation for subsequent tone mapping, and the difference between a profile signal 803 and the image signal 801 conditional on the signal profile level being higher than the original image signal level, wherein avoiding boosting of brightness level to obtain contrast enhancement.
Abstract: Methods and apparatuses of contrast enhancement on an image are disclosed. The method performs local shading of fine contrast variations in an image, with particular advantage in tone mapping applications. The amounts of shading are determined by the preferred degree of increased image contrast 810, including compensation for subsequent tone mapping, and the difference between a profile signal 803 and the image signal 801 conditional on the signal profile level being higher than the original image signal level, wherein avoiding boosting of brightness level to obtain contrast enhancement. The profile signal 803 is calculated by the weighted sum of the image signal and the absolute signal variation which is the absolute value of the variation between the brightness of two neighbor pixels. This amount of shading is reduced to zero when the profile signal 803 is lower than the original image signal 801 for avoiding the overshooting problem at sharp edges in an image. Uniform RGB scaling is applied to preserve original color tones.
17 citations
TL;DR: Different dynamic range reduction techniques known from the tone mapping of optical images are examined, regarding their applicability to SAR data, and incorporated into the interactive visualization framework based on programmable graphics hardware.
Abstract: The visualization of synthetic aperture radar (SAR) data involves the mapping from high dynamic range amplitude values to gray values of a lower dynamic range display device. This dynamic range reduction process controls the amount of information in the displayed result and is therefore an important part of each SAR visualization system. Interactive systems provide the user with immediate feedback on the changes of the reduction method and its parameters. In this letter, we examine different dynamic range reduction techniques known from the tone mapping of optical images. The techniques are analyzed, regarding their applicability to SAR data, and incorporated into our interactive visualization framework based on programmable graphics hardware.
17 citations
29 Dec 2011
TL;DR: The image quality assessment with HDR visual difference predictor (HDR-VDP) and relative entropy contrast is presented, and this work has better performance than other inverse tone mapping operators (iTMOs) for the both image quality assessments.
Abstract: New generations of display technologies provide signicantly improved dynamic range over conventional display devices. Current inverse tone mapping schemes require multiple exposure low dynamic range (LDR) images to generate high dynamic range (HDR) images. In this work, we propose an exposure dependent S curve to convert one optimized LDR image to multiple images with different brightness, which are then fused into a virtual real scene HDR image with wide dynamic range. According to our implementation results, the dynamic range can reach about 105. The synthesizer is robust and temporally coherent, and does not require image specific parameter adjustment. This paper also presents the image quality assessment with HDR visual difference predictor (HDR-VDP) and relative entropy contrast, and our work has better performance than other inverse tone mapping operators (iTMOs) for the both image quality assessments.
17 citations
TL;DR: Experimental results demonstrated that the proposed tone mapping method with contrast preservation and lightness correction is more suitable for dynamic range compression than existing tone mapping methods, while it also preserves the color of a scene in an effective way.
Abstract: In real-world environments, the human visual system perceives a wide range of luminance in a scene. However, the full range of tones in a high dynamic range (HDR) scene cannot be displayed on standard display devices due to their low dynamic range (LDR). Therefore, tone mapping is necessary to faithfully display a HDR scene on an LDR display device. Existing tone mapping methods have problems because details and contrast in a scene are not preserved faithfully, and they also distort the colors in a scene. Thus, we propose a tone mapping method for preserving the detail in an HDR scene using a weighted least squares filter, which preserves the global contrast in a scene by using a competitive learning neural network, before applying a tone reproduction operator to preserve the color without shifting the lightness. According to the Helmholtz–Kohlrausch effect, the perception of brightness depends on the lightness, chroma, and hue of a color. For example, the luminance of pixels with specific colors such as red and blue is low in an HDR scene. The proposed method corrects the lightness of pixels according to the color (i.e., lightness, chroma, and hue) of a tone-mapped image. Experimental results with several test sets of images demonstrated that the proposed tone mapping method with contrast preservation and lightness correction is more suitable for dynamic range compression than existing tone mapping methods, while it also preserves the color of a scene in an effective way.
17 citations