HDR image reconstruction from a single exposure using deep CNNs
Camera sensors can only capture a limited range of luminance simultaneously, and in order
to create high dynamic range (HDR) images a set of different exposures are typically …
to create high dynamic range (HDR) images a set of different exposures are typically …
Single-image HDR reconstruction by learning to reverse the camera pipeline
Recovering a high dynamic range (HDR) image from a single low dynamic range (LDR)
input image is challenging due to missing details in under-/over-exposed regions caused by …
input image is challenging due to missing details in under-/over-exposed regions caused by …
Expandnet: A deep convolutional neural network for high dynamic range expansion from low dynamic range content
High dynamic range (HDR) imaging provides the capability of handling real world lighting as
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …
opposed to the traditional low dynamic range (LDR) which struggles to accurately represent …
Hdrunet: Single image hdr reconstruction with denoising and dequantization
Most consumer-grade digital cameras can only capture a limited range of luminance in real-
world scenes due to sensor constraints. Besides, noise and quantization errors are often …
world scenes due to sensor constraints. Besides, noise and quantization errors are often …
Rawhdr: High dynamic range image reconstruction from a single raw image
High dynamic range (HDR) images can record much more intensity levels than usual ones.
Existing methods mainly reconstruct HDR images from the 8-bit low dynamic range (LDR) …
Existing methods mainly reconstruct HDR images from the 8-bit low dynamic range (LDR) …
HDR video reconstruction: A coarse-to-fine network and a real-world benchmark dataset
High dynamic range (HDR) video reconstruction from sequences captured with alternating
exposures is a very challenging problem. Existing methods often align low dynamic range …
exposures is a very challenging problem. Existing methods often align low dynamic range …
Perceptual image enhancement for smartphone real-time applications
Recent advances in camera designs and imaging pipelines allow us to capture high-quality
images using smartphones. However, due to the small size and lens limitations of the …
images using smartphones. However, due to the small size and lens limitations of the …
Deep chain hdri: Reconstructing a high dynamic range image from a single low dynamic range image
Recently, high dynamic range (HDR) imaging has attracted much attention as a technology
to reflect human visual characteristics owing to the development of the display and camera …
to reflect human visual characteristics owing to the development of the display and camera …
Ultra-high-definition image hdr reconstruction via collaborative bilateral learning
Existing single image high dynamic range (HDR) reconstruction attempt to expand the range
of luminance. They are not effective to generate plausible textures and colors in the …
of luminance. They are not effective to generate plausible textures and colors in the …
Physiological inverse tone map** based on retina response
Y Huo, F Yang, L Dong, V Brost - The Visual Computer, 2014 - Springer
The mismatch between the Low Dynamic Range (LDR) content and the High Dynamic
Range (HDR) display arouses the research on inverse tone map** algorithms. In this …
Range (HDR) display arouses the research on inverse tone map** algorithms. In this …