[HTML][HTML] Histogram equalization using a selective filter
RM Dyke, K Hormann - The visual computer, 2023 - Springer
Many popular modern image processing software packages implement a naïve form of
histogram equalization. This implementation is known to produce histograms that are not …
histogram equalization. This implementation is known to produce histograms that are not …
Learning srgb-to-raw-rgb de-rendering with content-aware metadata
S Nam, A Punnappurath… - Proceedings of the …, 2022 - openaccess.thecvf.com
Most camera images are rendered and saved in the standard RGB (sRGB) format by the
camera's hardware. Due to the in-camera photo-finishing routines, nonlinear sRGB images …
camera's hardware. Due to the in-camera photo-finishing routines, nonlinear sRGB images …
Photo-realistic image bit-depth enhancement via residual transposed convolutional neural network
Nowadays, with the rapid development of high bit-depth (HBD) monitors, the demands for
high quality image visualization have been raised. However, a prominent problem is the …
high quality image visualization have been raised. However, a prominent problem is the …
BE-CALF: Bit-depth enhancement by concatenating all level features of DNN
There is a growing demand for monitors to provide high-quality visualization with more bits
representing each rendered pixel. However, since most existing images and videos are of …
representing each rendered pixel. However, since most existing images and videos are of …
ABCD: Arbitrary Bitwise Coefficient for De-quantization
Modern displays and contents support more than 8bits image and video. However, bit-
starving situations such as compression codecs make low bit-depth (LBD) images (< 8bits) …
starving situations such as compression codecs make low bit-depth (LBD) images (< 8bits) …
Deep reconstruction of least significant bits for bit-depth expansion
Bit-depth expansion (BDE) is important for displaying a low bit-depth image in a high bit-
depth monitor. Current BDE algorithms often utilize traditional methods to fill the missing …
depth monitor. Current BDE algorithms often utilize traditional methods to fill the missing …
Image Bit-Depth Enhancement via Maximum A Posteriori Estimation of AC Signal
When images at low bit-depth are rendered at high bit-depth displays, missing least
significant bits needs to be estimated. We study the image bit-depth enhancement problem …
significant bits needs to be estimated. We study the image bit-depth enhancement problem …
IPAD: Intensity potential for adaptive de-quantization
Display devices at bit depth of 10 or higher have been mature but the mainstream media
source is still at bit depth of eight. To accommodate the gap, the most economic solution is to …
source is still at bit depth of eight. To accommodate the gap, the most economic solution is to …
From 2D extrapolation to 1D interpolation: Content adaptive image bit-depth expansion
In this paper, we address the problem of image bit-depth expansion and present a novel
method to generate high bit-depth (HBD) images from a single low bit-depth (LBD) image …
method to generate high bit-depth (HBD) images from a single low bit-depth (LBD) image …
Residual-guided multiscale fusion network for bit-depth enhancement
Bit-depth enhancement (BDE) is a challenging task due to stubborn false contour artifacts
and disappeared detailed information. Given the mixture of structural distortions and real …
and disappeared detailed information. Given the mixture of structural distortions and real …