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.

Automatic High Dynamic Range and Resolution Imaging for 2DGE Images

Abstract: 2-Dimensional Gel Electrophoresis Image (2DGE) has been commonly used by biologists. Biologists only take one image for each 2D gel in traditional, and separate complex protein mixtures in the image. The image took by traditional way shall loss some of proteins that are existing in the 2D gel originally. To reduce the loss, we propose a High Dynamic Range and Resolution (HDRR) image technique in this paper. HDRR will preserve whole protein spots by taking multiple luminance and resolution images. We can change resolutions and luminance of HDRR image immediately. In traditionally, the generation of a HDRR image needs to scan a 2D gel many times in different resolutions and luminance. However, this way will be time-consuming in scanning and probably causes manual carelessness. The other contribution of the paper is our HDRR method can scan different resolutions and luminance as well as integrating these images in HDRR format automatically. The automatic method mentioned in this paper saves 2/3 time of traditional way in scanning. This is the other contribution of this paper.

High dynamic range fusion for enhanced vision

Abstract: Fusing multispectral images, Enhanced Vision (EV) has been proven helpful to improve pilot’s Situation Awareness (SA) under Degraded Vision Environment (DVE), such as low visibility or adverse observation conditions, which caused by fog, dust, weak light, backlighting, etc. Numerous methods are applied to enhance and fuse optical and infrared (IR) images for visual details to provide pilot with enough inform ation as far as possible. Howe ver, most existing optical and IR imaging devices, for their inherent defects, fail to acquire wide span of light and only generate Low Dynamic Range images (LDR, Dynamic Range: range between the lightest and darkest areas), which causes the loss of useful details. Normal display devices can’t reveal HDR details as well. The proposed paper introduces and expands High Dynamic Range (HDR) technologies to fuse optical and IR images, which has rarely been involved in the study of HDR Imaging to our knowledge, for Enhanced Vision to better pilot’s Situation Awareness. Two major problems should be discussed. (1) The way to generate fused image with HDR information under DVE. (2) The method to effectively display fused HDR image with normal LDR monitors. Aiming at application environment, HDR fusion scheme is proposed and relevant methods are explored. The experimental results prove that our scheme is effective and would be beneficial to enhancing pilot’s Situation Awareness under DVE. Keywords: image fusion, enhanced vision, high dynamic range imaging, tone mapping

Remapping the pupil

Abstract: Correction of the influence of phase corrugations in the pupil plane is a fundamental issue in achieving high dynamic range imaging. We present here an imaging system which, thanks to non-redundant pupil remapping and spatial filtering, allows a perfect determination of the Optical Transfer Function. We do show that such a system would allow image reconstruction free from phase perturbations, photon noise limited, and with high dynamic range.

Luminance and contrast ideal balancing based tone mapping algorithm

Abstract: The tone mapping field represents a challenge for all the HDR researchers Indeed, this field is very important since, it offers better display terms for the end-user This paper details a design of a recent tone mapping operator used in high dynamic range imaging systems The proposed operator represents a local method that uses an adaptable factor which combines both the average neighbouring contrast and the brightness difference Thanks to that, this solution provides good results with better brightness, contrast, and visibility and without producing neither undesired artifacts nor shadow effects