ADAS	Advanced Driver Assistance Systems
CMAWRNet	Quaternion-Based Universal Multi-Weather Restoration Network
CNN	Convolutional Neural Network
COCO	Common Objects in Context (dataset)
DAWN	Vehicle Detection in Adverse Weather Nature (dataset)
DNet	Decomposition Network (structure/texture split)
DWC	Depthwise Convolution
EPDN	Enhanced Pix2pix Dehazing Network
FNet	(Attentive) Fusion Network
GAN	Generative Adversarial Network
GELU	Gaussian Error Linear Unit
GPU	Graphics Processing Unit
HINet	Half Instance Normalization Network
ITS	Intelligent Transportation Systems
IoU	Intersection over Union
JSTASR	Joint Size and Transparency Aware Snow Removal
LOL	Low-Light (dataset)
LQC	Lightweight Quaternion Chebyshev (baseline)
MAXIM	Multi-Axis MLP for Image Processing
MLP	Multi-Layer Perceptron
MPRNet	Multi-Stage Progressive Image Restoration
PSNR	Peak Signal to Noise Ratio
QFFN	Quaternion Feed-Forward Network
QMLP	Quaternion Multi-Layer Perceptron
QMSA	Quaternion Multi-Head Self Attention
QNN	Quaternion Neural Network
QSAM-Net	Quaternion Self Attention Module Network (rain-streak removal)
QSSIM	Quaternion Structural Similarity Index
RGB	Red Green Blue Color Space
RVNN	Real Valued Neural Network
ReLU	Rectified Linear Unit
SCNet	Sample Consistency Network (for instance segmentation)
SSIM	Structural Similarity Index
SwinIR	Swin Transformer for Image Restoration
TNet	Lightweight Quaternion Encoder–Decoder (texture/structure cleaning)
TransWeather	Transformer-Based Adverse-Weather Restoration Model
UNet	U-shaped Convolutional Network
Uformer	U-shaped Transformer for Image Restoration
YCrCb	Luma Chroma Color Space (Y, Cr, Cb)
mAP	Mean Average Precision
mAPs	Mean Average Precision (small objects)
mAR	Mean Average Recall
mARs	Mean Average Recall (small objects)