A variational approach for restoring images corrupted by noisy blur kernels and additive noise

Keyphrases

• Restored Image 100%
• Variational Approach 100%
• Additive Noise 100%
• Blur Kernel 100%
• Numerical Results 50%
• Numerical Scheme 50%
• Regularization Term 50%
• Minimization Problem 50%
• Total Variation Regularization 50%
• Numerical Examples 50%
• Data Fitting 50%
• Alternating Minimization 50%
• Peak Signal to Noise Ratio 50%
• Minimum Value 50%
• Global Minimum 50%
• Convex Optimization Model 50%
• Random Impulses 50%
• Distorted Images 50%
• Deblurring Algorithm 50%
• Impulse Response 50%
• Proximal Alternating Minimization 50%

Engineering

• Objective Function 100%
• Additive Noise 100%
• Numerical Scheme 33%
• Regularization 33%
• Total Variation 33%
• Minimization Problem 33%
• Numerical Example 33%
• Restored Image 33%
• Observed Image 33%
• Noise Ratio 33%
• Structural Similarity 33%
• Mild Condition 33%
• Impulse Response 33%
• Distorted Image 33%
• Squared Difference 33%

Mathematics

• Objective Function 100%
• Variational Approach 100%
• Additive Noise 100%
• Numerical Scheme 33%
• Total Variation 33%
• Regularization 33%
• Minimization Problem 33%
• Data Fitting 33%
• Numerical Example 33%
• Noise Ratio 33%
• Squared Difference 33%
• Impulse Response 33%