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Deep learning for hdr imaging: State-of-the-art and future trends
L Wang, KJ Yoon - IEEE transactions on pattern analysis and …, 2021 - ieeexplore.ieee.org
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range
of exposures, which is important in image processing, computer graphics, and computer …
of exposures, which is important in image processing, computer graphics, and computer …
Differentiable vector graphics rasterization for editing and learning
We introduce a differentiable rasterizer that bridges the vector graphics and raster image
domains, enabling powerful raster-based loss functions, optimization procedures, and …
domains, enabling powerful raster-based loss functions, optimization procedures, and …
Broad learning approach to Surrogate-Assisted Multi-Objective evolutionary fuzzy clustering algorithm based on reference points for color image segmentation
F Zhao, Y Liu, H Liu, J Fan - Expert Systems with Applications, 2022 - Elsevier
For some real-world problems, the objective function evaluation is time-consuming and
computationally expensive in multi-objective evolutionary algorithms. Surrogate-assistance …
computationally expensive in multi-objective evolutionary algorithms. Surrogate-assistance …
Blind image quality assessment in the contourlet domain
No-reference/blind image quality assessment (NR-IQA/BIQA) algorithms play an important
role in image evaluation, as they can assess the quality of an image automatically, only …
role in image evaluation, as they can assess the quality of an image automatically, only …
Nor-vdpnet: A no-reference high dynamic range quality metric trained on hdr-vdp 2
HDR-VDP 2 has convincingly shown to be a reliable metric for image quality assessment,
and it is currently playing a remarkable role in the evaluation of complex image processing …
and it is currently playing a remarkable role in the evaluation of complex image processing …
A genetic programming-based convolutional neural network for image quality evaluations
Monitoring the perceptual quality of digital images is fundamentally important since digital
image transmissions through the Internet continue to increase exponentially. Many …
image transmissions through the Internet continue to increase exponentially. Many …
Toward better prediction of recurrence for Cushing's disease: a factorization-machine based neural approach
Cushing's disease (CD) is a rare disease that occurs in 1.2–1.4 persons per million
population per year. Recurrence prediction after transsphenoidal surgery (TSS) is important …
population per year. Recurrence prediction after transsphenoidal surgery (TSS) is important …
[HTML][HTML] Multi-dimensional feature fusion network for no-reference quality assessment of in-the-wild videos
J Jiang, X Wang, B Li, M Tian, H Yao - Sensors, 2021 - mdpi.com
Over the past few decades, video quality assessment (VQA) has become a valuable
research field. The perception of in-the-wild video quality without reference is mainly …
research field. The perception of in-the-wild video quality without reference is mainly …
Nor-vdpnet++: Real-time no-reference image quality metrics
Efficiency and efficacy are desirable properties for any evaluation metric having to do with
Standard Dynamic Range (SDR) imaging or with High Dynamic Range (HDR) imaging …
Standard Dynamic Range (SDR) imaging or with High Dynamic Range (HDR) imaging …
No-reference image quality assessment based on edge pattern feature in the spatial domain
W Shao, X Mou - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes a general-purpose no-reference image quality assessment (NR-IQA)
method that investigates the image's structure information from a new aspect, ie, the …
method that investigates the image's structure information from a new aspect, ie, the …