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← ScienceWhich consequence results when iterative deconvolution fails to converge in image processing functions?
A)Premature halting of dynamic allocation
B)Artifact introduction into processed image✓
C)Unrecoverable resource starvation
D)Compromised data encryption key generation
💡 Explanation
Iterative deconvolution aims to reverse blurring. Divergence means the error increases, therefore artifact introduction occurs, rather than halting because the algorithm continues, or memory exhaustion or data corruption because these do not directly involve image processing.
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