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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TL;DR: A 3D color homography model which approximates photo-realistic color transfer algorithm as a combination of a 3D perspective transform and a mean intensity mapping is proposed.
Abstract: Color transfer is an image editing process that naturally transfers the color theme of a source image to a target image. In this paper, we propose a 3D color homography model which approximates photo-realistic color transfer algorithm as a combination of a 3D perspective transform and a mean intensity mapping. A key advantage of our approach is that the re-coded color transfer algorithm is simple and accurate. Our evaluation demonstrates that our 3D color homography model delivers leading color transfer re-coding performance. In addition, we also show that our 3D color homography model can be applied to color transfer artifact fixing, complex color transfer acceleration, and color-robust image stitching.
15 citations
07 Nov 2009
TL;DR: An automatic algorithm for high dynamic range compression based on the properties of human visual system is proposed to avoid the halo artifact and automates the parameter adjustment process while preserving the image details.
Abstract: It is often required to map the radiances of a real scene to a smaller dynamic range so that the image can be properly displayed. However, most such algorithms suffer from the halo artifact or require manual parameter tweaking that is often a tedious process for the user. We propose an automatic algorithm for high dynamic range compression based on the properties of human visual system. The algorithm is performed in the gradient domain to avoid the halo artifact. It automates the parameter adjustment process while preserving the image details. Performance comparison is provided to illustrate the advantages of the proposed algorithm.
15 citations
Patent•
11 Oct 2007TL;DR: In this article, a method, computer-usable medium and a system for varying an incoming light field are disclosed, where the spatial light modulator may be positioned between the viewed scene and the eye, and therefore, may be semi-transparent.
Abstract: A method, computer-usable medium and a system for varying an incoming light field are disclosed. Embodiments provide mechanisms for performing image processing on an incoming light field using a spatial light modulator which is adjusted based upon characteristics of the incoming light field. The spatial light modulator may be positioned between the viewed scene and the eye, and therefore, may be semi-transparent. The image processing may consist of tone mapping, color enhancement, beautification, edge enhancement, spectral separation of colors, spectral separation of metamers, object emphasis, other image processing, or some combination thereof. Additionally, embodiments compensate for parallax errors by adjusting the spatial light modulator based upon the position of an observer with respect to the spatial light modulator. And further, embodiments may be incorporated into optical devices, wearable optical devices, windows, windshields, and the like, where the semi-transparent spatial light modulator adjusts the image before entering the eye.
15 citations
Patent•
27 Dec 2009
TL;DR: A real-time image generator may include a first block extracting only a luminance component having a saturation, hue, and value domain from red, green and blue values of an image as discussed by the authors.
Abstract: A real-time image generator is disclosed. A real-time image generator may include a first block extracting only a luminance component having a saturation, hue, and value domain from red, green and blue values of an image. A second block outputs a log summation value and pixel count value with respect to a luminance component of an overall image by using the extracted luminance component and a natural log value. A third block calculates a luminance average value of the image by using the natural log summation value and the pixel count value outputted in the second block, the third block generating a tone mapping look up table including a tone mapping operator (L d ) for each luminance range to obtain a final output image using the calculated luminance average value. The third block outputs a tone mapped red, green and blue value by multiplying a corresponding tone mapping operator (L d ) of the tone mapping look up table by a red, green and blue value of the input image.
15 citations
TL;DR: Experimental results show that the proposed multi-exposure image fusion method based on human visual perception with overall image quality index (OIQ) and local saturation can successfully enhance image quality and achieve realistic rendering of natural scenes.
Abstract: Realistic rendering of natural scenes captured by digital cameras is the ultimate goal of image processing. In recent years, high dynamic range (HDR) imaging has received increasing attention for producing high-quality images. Multi-exposure image fusion is one of the most popular methods to achieve an HDR-like image without tone mapping. However, existing fusion methods may result in serious color distortions due to the inappropriate image attribute selection. In this paper, we propose a multi-exposure image fusion method based on human visual perception with overall image quality index (OIQ) and local saturation. We adopt OIQ and local saturation to enhance the fusion quality of multi-exposure images and achieve natural color reproduction. Experimental results show that the proposed method can successfully enhance image quality and achieve realistic rendering of natural scenes.
15 citations