Image Dehazing On Sots Outdoor

المقاييس

PSNR

SSIM

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

جدول المقارنة

اسم النموذج	PSNR	SSIM
generic-model-agnostic-convolutional-neural	28.19	0.9638
curricular-contrastive-regularization-for	36.68	0.99
griddehazenet-attention-based-multi-scale	30.86	0.982
mixdehazenet-mix-structure-block-for-image	36.50	0.986
enhanced-pix2pix-dehazing-network	22.57	0.8630
ffa-net-feature-fusion-attention-network-for	33.57	0.9804
strip-attention-for-image-restoration	38.01	0.995
exploring-the-potential-of-channel	40.73	0.997
selective-frequency-network-for-image	40.05	0.996
revitalizing-convolutional-network-for-image	39.42	0.996
uformer-a-general-u-shaped-transformer-for	26.52	0.945
u2-former-a-nested-u-shaped-transformer-for	31.10	0.976
unsupervised-single-image-dehazing-using-dark	24.08	0.933
focal-network-for-image-restoration	37.71	0.995
casdyf-net-image-dehazing-via-cascaded	38.86	0.995
dual-domain-strip-attention-for-image	38.39	0.995
mair-a-locality-and-continuity-preserving	36.96	0.991
omni-kernel-network-for-image-restoration	37.68	0.995
irnext-rethinking-convolutional-network	39.18	0.996
dea-net-single-image-dehazing-based-on-detail	36.59	0.9897
maxim-multi-axis-mlp-for-image-processing	34.19	-
aod-net-all-in-one-dehazing-network	24.14	0.920
image-restoration-via-frequency-selection	40.40	0.997
rethinking-performance-gains-in-image	36.64	0.986
onerestore-a-universal-restoration-framework	35.58	0.9814
an-ensemble-multi-scale-residual-attention	25.81	0.9409
gated-fusion-network-for-single-image	22.30	0.880
deep-energy-using-energy-functions-for	24.07	0.933
vision-transformers-for-single-image-dehazing	34.95	0.984
instruct-ipt-all-in-one-image-processing-1	39.95	0.992