PURPOSE To compare the added value of dynamic contrast material-enhanced ( CE contrast enhanced ) ( DCE dynamic CE ) magnetic resonance (MR) imaging with that of dynamic susceptibility CE contrast enhanced ( DSC dynamic susceptibility CE ) MR imaging with the combination of CE contrast enhanced T1-weighted imaging and diffusion-weighted ( DW diffusion weighted ) imaging for predicting recurrent...

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...

iCAM06 is a high dynamic range (HDR) imaging technology. However, the base-detail separation, chromatic adaptation, and tone compression algorithms included in iCAM06 cause problems in image quality. This study focuses on the desaturation, poor contrast, and noise problems found in the dark regions. First, we discuss desaturation compensation using the visual acuity characteristics for various ...

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...

The field of high dynamic range imaging addresses the problem of capturing and displaying the large range of luminance levels found in the world, using devices with limited dynamic range. In this paper we present a novel tone mapping algorithm that is based on K-means clustering. Using dynamic programming we are able to, not only solve the clustering problem efficiently, but also find the globa...

Modern imaging techniques have proved to be very efficient to recover a scene with high dynamic range values. However, this high dynamic range can introduce star-burst patterns around highlights arising from the diffraction of the camera aperture. The spatial extent of this effect can be very wide and alters pixels values, which, in a measurement context, are not reliable anymore. To address th...

Medical imaging devices often capture the raw data with high precision, producing high dynamic range (HDR) images. To visualize HDR images on regular displays, there has been an increasing number of tone mapping algorithms developed in recent years that convert HDR to low dynamic range (LDR) images. To visualize HDR medical images, a so-called “windowing” procedure is typically employed by whic...

This paper introduces a novel area of research to the Image Forensic field; identifying High Dynamic Range (HDR) digital images. We create a test set of images that are a combination of HDR and standard images of similar scenes. We also propose a scheme to isolate fingerprints of the HDR-induced haloing artifact at “strong” edge positions, and present experimental results in extracting suitable...

High Dynamic Range (HDR) imaging has revolutionized the digital imaging. It allows capture, storage, manipulation, and display of full dynamic range of the captured scene. As a result, it has spawned whole new possibilities for digital photography, from photorealistic to hyper-real. With all these advantages, the technique is expected to replace the conventional 8-bit Low Dynamic Range (LDR) im...