High dynamic range image (HDR) is widely used since it is capable of capturing more fine information. However, problems remain in its display. A good rendering of HDR color images requires careful treatment of both the brightness and chromaticity information. In this work, we first prove that the global logarithmic mapping of the R, G, B channels may result in desaturation. We then propose an i...

We present a technique for capturing the extreme dynamic range of natural illumination environments that include the sun and sky, which has presented a challenge for traditional high dynamic range photography processes. We find that through careful selection of exposure times, aperture, and neutral density filters that this full range can be covered in seven exposures with a standard digital ca...

High Dynamic Range (HDR) images have been widely applied in daily applications. However, HDR image is special format, which need to pre-process known as tone mapping operators for display. Since the visual quality of HDR images are very sensitive to luminance value variations, conventional watermarking methods for low dynamic range (LDR) images are not suitable and may even cause catastrophic v...

The development of single-shot, high-dynamic-range temporal measurement devices has become necessary for characterizing high-energy petawatt laser pulses. Because of the low repetition rate of such systems, no device offers high-dynamic-range measurements in a single-shot mode. In addition, investigating the unexpected temporal behavior of pulses amplified by new techniques such as analyzed in ...

Human observers are able to make fine discriminations of surface gloss. What cues are they using to perform this task? In previous studies, we identified two reflection-related cues—the contrast of the reflected image (c, contrast gloss) and the sharpness of reflected image (d, distinctness-of-image gloss)--but these were for objects rendered in standard dynamic range (SDR) images with compress...

In this report we propose a HDR synthesis framework based on MAP estimation. We start with introducing a physical model for the HDR imaging process, and then make several basic assumptions. Based on these we reach a model where our previous formulation on HDR deghosting could be considered an instantiation, by picking particular densities and choosing appropriate parameters. Finally, we extend ...

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...

Today, neuroscientists are interested in discovering human brain functions through brain networks. In this regard, the evaluation of dynamic changes in functional connectivity of the brain regions by using functional magnetic resonance imaging data has attracted their attention. In this paper, we focus on two model-based approaches, called the exponential weighted moving average model and the d...

While tone mapping operation of high dynamic range (HDR) images for realistic display is commonly researched, scientific visualization for analysing scene luminance within HDR image has much less attention from researches. This paper has presented and implemented an approach for the reproduction and visualization of the colour information in HDR images. We attempt several simple colour visualiz...

The dynamic range of a scene is the contrast ratio between its brightest and darkest parts Low dynamic range images usually represent pixels with pixel values ranging as integers between and High dynamic range pixels are capable of representing light quantities of one to a million and beyond and can express more exact than the usual dynamic range But it was di cult to model an object with high ...