This paper presents a novel solution to the High Dynamic Range (HDR) image compression problem using level set framework. Using level set framework, this method separates the HDR image into detail and profile. Then it uses a global tone mapping function to compress the profile. Finally it produces a low dynamic range version of the image for display by adding the details to the compressed profi...

I present a revised approach to flash-exposure high dynamic range (HDR) imaging and demonstrate two applications of this image representation. The first application enables the creation of realistic ‘virtual photographs’ for arbitrary flash-exposure settings, based on a single flash-exposure HDR image. The second application is a novel tone mapping operator for flash-exposure HDR images based o...

We have implemented two analog VLSI computational sensors for sensing and encoding high dynamic range images by exploiting temporal dimension of photoreception. The first sensor is a multi-integration time photoreceptor that automatically adapts to use different integration periods depending on light intensity. It exhibits a dynamic range 128 times larger than that of a single integration perio...

In this study, low dynamic range images were produced from high dynamic range images using hybrid tone mapping. Firstly, high dynamic range images were constructed from the series of images by varying exposure through an image fusion method. Then the high dynamic range images were mapped into 8 bit images using hybrid tone mapping. Our approach is based on combination of luminance map and bilat...

We present a new approach to display High Dynamic Range (HDR) video using gradient based high dynamic range compression. To obtain HDR video, we utilize the split aperture camera. We apply a spatio-temporal gradient based video integration algorithm for fast and accurate integration of the three input HDR videos into a low dynamic range video, which is suitable for display. The spatiotemporal v...

High dynamic range (HDR) imaging has become a powerful tool in computer graphics, and is being applied to scenarios like simulation of different film responses, motion blur, and image-based illumination. The HDR images for these applications are typically generated by combining the information from multiple photographs taken at different exposure settings. Unfortunately, the color calibration o...

Capturing natural scenes with high dynamic range content using conventional RGB cameras generally results in saturated and underexposed and therefore compromising image areas. Furthermore the image lacks color accuracy due to a systematic color error of the RGB color filters. The problem of the limited dynamic range of the camera has been addressed by high dynamic range imaging (HDRI): Several ...

The dynamic range is a ratio between the maximum and minimum physical measures. Its definition depends on what the dynamic range refers to. For a scene, dynamic range is the ratio between the brightest and darkest parts of the scene. For a camera, dynamic range is the ratio of saturation to noise. More specifically, ratio of the intensity that just saturates the camera to the intensity that jus...

We stand on the threshold of a new era in digital imaging, when image files will encode the color gamut and dynamic range of the original scene, rather than the limited subspace that can be conveniently displayed with 20 year-old monitor technology. In order to accomplish this goal, we need to agree upon a standard encoding for high dynamic range (HDR) image information. Paralleling conventiona...

The dynamic luminance range of many real-world environments exceeds the capabilities of current display technology by several orders of magnitude. Recently, new display systems have demonstrated, which are capable of displaying images with a dynamic luminance range much more similar to that encountered in the real world. The paper summarizes how the human eye perceives high dynamic luminance ra...