K Krunal Yadav

Transfer Learning for Image Processing: A Review and Practical Considerations

K Krunal Yadav & Ankatwar Gajanan · Asian Journal of Research in Computer Science · 2026

Transfer learning has emerged as a transformative paradigm in deep learning–based image processing, enabling effective knowledge reuse from large-scale pretrained models to domain-specific tasks with limited labelled data. While training deep convolutional neural networks (CNNs)...

Open access Research Article 10.9734/ajrcos/2026/v19i2831

Image Processing from Handcrafted Operators to Foundation Models: A Critical Review of Methods, Applications and Recent Advances

Ankatwar Gajanan, Narote Preetham, Gajjala Lilly Rani, Alurwad Tripat Venkatreddy & K Krunal Yadav · Advances in Research · 2026

Digital image processing has evolved from deterministic operators designed around explicit assumptions to data-driven systems that learn representations, priors and decision rules from large image collections. This transition has improved performance in restoration, segmentation,...

Open access Research Article 10.9734/air/2026/v27i51693