High-dynamic-range imaging

About: High-dynamic-range imaging is a research topic. Over the lifetime, 766 publications have been published within this topic receiving 22577 citations.

High dynamic range imaging via truncated nuclear norm minimization of low-rank matrix

Abstract: We propose a ghost-free high dynamic range (HDR) image synthesis algorithm using a rank minimization framework. Based on the linear dependency among irradiance maps from low dynamic range (LDR) images, we formulate ghost-free HDR imaging as a low-rank matrix completion problem. The main contribution is to solve it efficiently via the augmented Lagrange multiplier (ALM) method, where the optimization variables are updated by closed-form solutions. Experiments on real image sets show that the proposed algorithm provides comparable or even better image qualities than state-of-the-art approaches, while demanding lower computational resources.

Fuzzy Information Measure for Improving HDR Imaging

Abstract: Digital image processing can often improve the quality of visual sensing of images and real-world scenes. Recently, high dynamic range (HDR) imaging techniques have become more and more popular in the field. Both classical and soft computing–based methods proved to be advantages in revealing the non-visible parts of images and realistic scenes. However, extracting as much details as possible is not always enough because the sensing capability of the human eye depends on many other factors and the visual quality is not always proportional to the rate of accurate reproduction of the scene. In this paper, a new fuzzy information measure is introduced by which the quality of HDR images can be improved and both the amount of visible details and the quality of sensing can be increased.

New visualization method for high dynamic range images in low dynamic range devices

Abstract: Various tone reproduction operators have been proposed to display high dynamic range images on low dynamic range (LDR) devices. The gradient domain operator is a good candidate due to its capability of reducing the dynamic range and avoiding common artifacts including halos and loss of image details. However the gradient domain operator requires high computational complexity and often introduces low-frequency artifacts such as reversal of contrast between distant image patches. In order to solve these problems we present a new gradient domain tone reproduction method which adopts an energy functional with two terms one for preserving global contrast and the other for enhancing image details. In the proposed method the LDR image is obtained by minimizing the proposed energy functional through a numerical method. Simulation results demonstrate that the proposed method can not only achieve the significantly reduced computational complexity but also exhibit better visual quality as compared with conventional algorithms.

High Dynamic Range Imaging: Towards the Limits of the Human Visual Perception

Abstract: Vast majority of digital images and video material stored today can capture only a fraction of visual information visible to the human eye and does not offer sufficient quality to reproduce them on the future generation of display devices. The limitating factor is not the resolution, since most consumer level digital cameras can take images of higher number of pixels than most of displays can offer. The problem is a limited color gamut and even more limited dynamic range (contrast) that cameras can capture and that majority of image and video formats can store. For instance, each pixel value in the JPEG image encoding is represented using three 8-bit integer numbers (0-255) using the YCrCb color space. Such color space is able to store only a small part of visible color gamut (although containing the colors most often encountered in the real world), as illustrated in Figure 1-left, and even smaller part of luminance range that can be perceived by our eyes, as illustrated in Figure 1-right. The reason for this is that the JPEG format was designed to store as much information as can be displayed on the majority of displays, which were Cathode Ray Tube (CRT)

High-dynamic range imaging method used for extracting geometrical characteristic of high-reflective surface

Abstract: The invention discloses a high-dynamic range imaging method used for extracting a geometrical characteristic of a high-reflective surface. A DMD camera composed of a DMD, a CCD, a first lens system, a second lens system and a processor; the measured high-reflective surface is imaged in the CCD after being modulated by a DMD code; whether the encoded image has a supersaturated region by using a maximum between-class variance; an adaptive light intensity coding control algorithm is designed, and a corresponding DMD mask is generated by coordinate matching and mapping and introduced into the DMD to complete effective attenuation on incident rays in the corresponding region. Iteration is performed in sequence until the complete and clear encoded image is acquired finally. At last, the high-dynamic range image of the encoded image is reconstructed according to the actual light intensity attenuation condition, and clearly displayed by using a tone mapping technology, and thus the purpose of adaptive high-dynamic range imaging is achieved. According to the method provided by the invention, the problem that the geometrical characteristic is difficult to effectively extract due to partial overexposure in three-dimensional geometrical characteristic measurement of the high-reflective surface can be solved.