APPLYING GENERALIZED WEIGHTED MEAN AGGREGATION TO IMPULSIVE NOISE REMOVAL OF IMAGES

Keyphrases

• Impulse Noise Removal 100%
• Mean Aggregation 100%
• Generalized Weighted Mean 100%
• Noise Rate 66%
• Image Noise 66%
• Weight Parameter 66%
• Weighted Mean 66%
• Interval-valued Fuzzy Relations 66%
• Transfer Function 33%
• Gradient Method 33%
• Neighboring pixels 33%
• Sliding Window 33%
• Grayscale Image 33%
• Detection Error 33%
• Central pixel 33%
• Threshold Operation 33%
• Aggregation Algorithm 33%
• Noise Detection 33%
• Noise Correction 33%
• Saturation Level 33%
• Pixel Difference 33%
• Caste 33%
• Discrete Formulation 33%
• Error Weighting 33%
• Impulse Noise Detection 33%
• Cumulative Difference 33%
• Difference Term 33%
• Noise Map 33%

Computer Science

• Image Noise 100%
• Fuzzy Relation 100%
• Error Detection 50%
• Sliding Window 50%
• Transfer Function 50%
• Difference Value 50%
• Gradient Method 50%

Engineering

• Image Noise 100%
• Fuzzy Relation 100%
• Error Detection 50%
• Transfer Function 50%
• Big Difference 50%
• Grayscale Image 50%
• Impulse Noise 50%