Editing Digital image processing (section)

== Challenges ==

# '''Noise and [[Distortion|Distortions]]''': Imperfections in images due to poor lighting, limited sensors, and file compression can result in unclear images that impact accurate image conversion.
# '''Variability in Image Quality''': Variations in image quality and resolution, including blurry images and incomplete details, can hinder uniform processing across a database.
# '''[[Object detection|Object Detection]] and Recognition''': Identifying and recognising objects within images, especially in complex scenarios with multiple objects and occlusions, poses a significant challenge.
# '''Data Annotation and Labelling''': Labelling diverse and multiple images for machine recognition is crucial for further processing accuracy, as incorrect identification can lead to unrealistic results.
# '''Computational [[Resource intensity|Resource Intensity]]''': Accessing adequate computational resources for image processing can be challenging and costly, hindering progress without sufficient resources.