Digital Imaging Analyzing and Reproducing Color, Texture, and Material Appearance
Digital photography has made great strides in showing colour and texture along with specific material details. Standard approaches usually do not attain realistic representations. The Multifaceted Realism Synthesis presented in this document resolves these problems and outshines classic strategies in accuracy and realism. The MRS framework incorporates three core algorithms: With this approach we can obtain more consistent and accurate colour reproduction using the Colour Harmonisation Algorithm. The Physically Informed Material Rendering and Typical Texture Synthesis (ATS) generate more natural textures that adapt to local details rather than using median filtering or morphological methods. The MRS approach adjusts materials appearance texture and colour to deliver superior realism adaptability and precision beating current methods. This new approach can change digital photography across different areas such as entertainment and healthcare. The technique of MRS has made a substantial improvement in the quest for hyper-real visuals in digital photography.
Authors
- K. Varada Rajkumar
- Manish Gupta (ORCID: https://orcid.org/0000-0002-2843-3110)
- Manish Garg (ORCID: https://orcid.org/0000-0002-1744-7445)
- Sajja Suneel (ORCID: https://orcid.org/0009-0007-7759-7924)
- Ali Abduhussien Hameed
- Sujin Jose Arul
Institutions
- Lovely Professional University (IN)
- Aeronautical Development Agency (IN)
- Iraqi University (IQ)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/ic3i61595.2024.10828625
- Citations
- 1
- Primary Topic
- Industrial Vision Systems and Defect Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.35