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DEHAZING DESMOKING SYSTEM USING AL/ML
This Project Focuses On Developing An AI/ML-based System For Removing Haze And Smoke From Images, Enhancing Visibility In Adverse Environmental Conditions. Using Deep Learning Techniques, Particularly Convolutional Neural Networks (CNNs) An...
COLOR IMAGE DE-HAZING METHOD IN CHALLENGING CONDITION USING STRUCTURAL AND STATISTICAL FEATURES BASED ON IQA
In Real World Scenario Due To Bad Weather Conditions The Presence Of Fog And Haze, The Particles In The Outdoor Environment Or Atmosphere (e.g., Droplets, Smoke, Sand, Snow, Mist, Volcanic Ash, Liquid Dust Or Solid Dust) Greatly Reduces The...
QUATERNION MATRIX APPROACH FOR COLOR IMAGE WITH VECTOR SPARSE REPRESENTATION
Conventional Sparse Image Models Treat Image Pixel As A Scalar, Which Represents Color Channels Separately Or Concatenate Color Channels As Indefinite Image. In This Paper, We Propose A Vector Sparse Representation Model For Color Image...