A Retinex-Based Variational Model for Enhancement and Restoration of Low-Contrast Remote-Sensed Images Corrupted by Shot Noise.
I. P. FebinP. JideshA. A. BiniPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2020)
Keyphrases
- low contrast
- contrast enhancement
- additive gaussian noise
- image enhancement
- background noise
- high noise
- high contrast
- remote sensed images
- noise removal
- speckle noise
- noise level
- enhanced image
- noise free
- fully automatic
- image processing
- noisy images
- denoising
- gray level
- image denoising
- histogram equalization
- dynamic range compression
- median filter
- blood vessels
- edge detection
- remote sensing
- noise reduction
- accurate segmentation
- multiscale
- image contrast
- visual quality
- image restoration
- gray value
- retinex theory
- cell segmentation
- noisy data
- phase contrast
- video sequences
- video data
- image analysis
- cell nuclei
- signal to noise ratio
- high resolution
- intensity variations
- color images
- active contours
- computer vision
- semi automatic