9798307859971 - SeeSR: The Future of Image Super-Resolution: SeeSR: Advancing Semantics-Aware Real-World Image Super-Resolution: 1 di ROY, Dr. SANGITA; Chowdhury, Low Kumar; Mukher... (7 risultati)

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New. In.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condizione: Neu. Neuware - SeeSR: Advancing Semantics-Aware Real-World Image Super-Resolution is a technical exploration of the SeeSR framework, an innovative solution to the challenges of Real-World Image Super-Resolution (Real-ISR). As the demand for high-quality image restoration grows, especially in fields like medical imaging, satellite data analysis, and surveillance, traditional super-resolution methods often struggle with the complexity of real-world image degradation. SeeSR addresses this by introducing semantics-aware techniques that ensure high-resolution outputs retain both the visual and semantic accuracy of the original images.

Paperback. Condizione: new. Paperback. SeeSR: Advancing Semantics-Aware Real-World Image Super-Resolution is a technical exploration of the SeeSR framework, an innovative solution to the challenges of Real-World Image Super-Resolution (Real-ISR). As the demand for high-quality image restoration grows, especially in fields like medical imaging, satellite data analysis, and surveillance, traditional super-resolution methods often struggle with the complexity of real-world image degradation. SeeSR addresses this by introducing semantics-aware techniques that ensure high-resolution outputs retain both the visual and semantic accuracy of the original images. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. SeeSR: Advancing Semantics-Aware Real-World Image Super-Resolution is a technical exploration of the SeeSR framework, an innovative solution to the challenges of Real-World Image Super-Resolution (Real-ISR). As the demand for high-quality image restoration grows, especially in fields like medical imaging, satellite data analysis, and surveillance, traditional super-resolution methods often struggle with the complexity of real-world image degradation. SeeSR addresses this by introducing semantics-aware techniques that ensure high-resolution outputs retain both the visual and semantic accuracy of the original images. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.