Toward universal stripe removal via wavelet-based deep convolutional neural network
Stripe noise from different remote sensing imaging systems varies considerably in terms of
response, length, angle, and periodicity. Due to the complex distributions of different stripes …
response, length, angle, and periodicity. Due to the complex distributions of different stripes …
Two-stage convolutional neural network for medical noise removal via image decomposition
Most of the existing medical image denoising methods focus on estimating either the image
or the residual noise. Moreover, they are usually designed for one specific noise with a …
or the residual noise. Moreover, they are usually designed for one specific noise with a …
DnRCNN: Deep recurrent convolutional neural network for HSI destri**
In spite of achieving promising results in hyperspectral image (HSI) restoration, deep-
learning-based methodologies still face the problem of spectral or spatial information loss …
learning-based methodologies still face the problem of spectral or spatial information loss …
InfMAE: A foundation model in the infrared modality
In recent years, foundation models have swept the computer vision field, facilitating the
advancement of various tasks within different modalities. However, effectively designing an …
advancement of various tasks within different modalities. However, effectively designing an …
Two-stage convolutional neural network for joint removal of sensor noise and background interference in lock-in thermography
Lock-in thermography provides a fast, low-cost, and accurate non-destructive testing for
subsurface defect detection in materials. However, there is serious sensor noise and …
subsurface defect detection in materials. However, there is serious sensor noise and …
[HTML][HTML] IDTransformer: Infrared image denoising method based on convolutional transposed self-attention
Image denoising is a quintessential challenge in computer vision, intending to produce high-
quality, clean images from degraded, noisy counterparts. Infrared imaging holds a pivotal …
quality, clean images from degraded, noisy counterparts. Infrared imaging holds a pivotal …
Progressive nonuniformity correction for aero-optical thermal radiation images via bilateral filtering and bézier surface fitting
H Hong, J Liu, Y Shi, L **ong, N Sang… - IEEE Photonics …, 2023 - ieeexplore.ieee.org
When a high-speed aircraft flies in the atmosphere, the imaging window is subjected to
airflow friction, the kinetic energy of the airflow is converted into thermal energy, which …
airflow friction, the kinetic energy of the airflow is converted into thermal energy, which …