SIH-22-Kyogre / EyeSea_Image-Preprocessing-Algorithms

Callable image enhancement and restoration APIs in Python. Preprocessing experiments and applicators for EyeSea.

Preprocessing for EyeSea

• Preprocessing experiments and applicators for EyeSea.
• Numerically optimized matrix computation implementation of image enhancement and color restoration algorithms.
• Callable image enhancement and restoration APIs.

Procedure to Execute

• Place the input images in data/input/ directory of the corresponding processing operation (i.e Color Restoration or Enhancement).
• Edit the corresponding run.py script to uncomment the algorithm to be applied.
• Execute the script:
  • To only generate the images: python run.py.
  • To visualize before-after stages for each image: python run.py --visualize.
• The processed images are stored in the corresponding data/output/ directory.

Image Enhancement Algorithms

• CLAHE: Contrast limited adaptive histogram equalization.
• GC: Gamma Correction.
• HE: Image enhancement by histogram transformation.
• ICM: Underwater Image Enhancement Using an Integrated Colour Model.
• Rayleigh Distribution: Underwater image quality enhancement through composition of dual-intensity images and Rayleigh-stretching.
• RGHS: Shallow-Water Image Enhancement Using Relative Global Histogram Stretching Based on Adaptive Parameter Acquisition.
• UCM: Enhancing the low quality images using Unsupervised Colour Correction Method.
• UMASK: Unsharp Masking.
• BF: Bilateral Filtering.

Image Color Restoration Algorithms

• DCP: Single Image Dehazing using Dark Channel Prior.
• GB Dehazing R Correction: Single underwater image restoration by blue-green channels dehazing and red channel correction.
• IBLA: Underwater Image Restoration Based on Image Blurriness and Light Absorption.
• LowComplexityDCP: Low Complexity Underwater Image Enhancement Based on Dark Channel Prior.
• MIP: Initial results in underwater single image dehazing.
• New Optical Model: Single underwater image enhancement with a new optical model (paper).
• RoWS: Removal of water scattering.
• UDCP: Transmission Estimation in Underwater Single Images.
• ULAP: A Rapid Scene Depth Estimation Model Based on Underwater Light Attenuation Prior for Underwater Image Restoration.