Course Outcome
CO1:Analyse digital image formation models and sampling processes to evaluate the impact of spatial and intensity resolution on image quality.
CO2:Design and implement spatial domain image enhancement algorithms and interpret their effects using evaluation metrics.
CO3:Apply frequency-domain transformations to perform filtering and analyse the relationship between spatial and spectral image representations.
CO4:Develop restoration models to mitigate degradation caused by noise and system imperfections using appropriate statistical filtering techniques.
CO5:Evaluate image compression techniques by analyzing redundancy removal, compression ratio, and reconstruction quality.
CO6:Design segmentation pipelines using thresholding, edge-based, region-based, and morphological methods and assess their performance using segmentation metrics.
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Teaching and Examination Scheme
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