1. Innovation: SCI papers require authors to put forward new theories, methods or technologies and make substantial contributions to the field of image processing. This may include new algorithm design, new application cases or improvement of existing theories.
2. Research depth: SCI papers need to discuss the research issues in depth, including theoretical basis, experimental design, data analysis, etc. This requires the author to have solid professional knowledge and rigorous research attitude.
3. Experimental results: SCI papers usually need clear experimental results to support the author's point of view. These results should be repeatable and can be verified by public data and code.
4. Paper structure: SCI papers need to have clear structure and logic, including introduction, methods, experiments, results and discussion. Each part should have clear objectives and contents.
5. Literature citation: SCI papers need to cite relevant academic literature to prove that the author's research is based on existing knowledge and technology. At the same time, it can also help readers understand the author's research background and research trends.
6. Language expression: SCI papers need to express the author's views and research results in clear and accurate language. This requires the author to have good English writing ability.
7. Format specification: SCI papers need to follow certain format specifications, including citation format, chart format and reference format. This can improve the readability and citation of the paper.
Generally speaking, SCI's requirements for image processing papers are mainly innovation, research depth, experimental results, paper structure, references, language expression and format specification.