Generating Reflectance Curves from sRGB Triplets
원문 초록
The color sensation evoked by an object depends on both the spectral power distribution of the illumination and the reflectance properties of the object being illuminated. The color sensation can be characterized by three color-space values, such as XYZ, RGB, HSV, L*a*b*, etc. It is straightforward to compute the three values given the illuminant and reflectance curves. The converse process of computing a reflectance curve given the color-space values and the illuminant is complicated by the fact that an infinite number of different reflectance curves can give rise to a single set of color-space values (metamerism). This paper presents five algorithms for generating a reflectance curve from a specified sRGB triplet, written for a general audience. The algorithms are designed to generate reflectance curves that are similar to those found with naturally occurring colored objects. The computed reflectance curves are compared to a database of thousands of reflectance curves measured from paints and pigments available both commercially and in nature, and the similarity is quantified. One particularly useful application of these algorithms is in the field of computer graphics, where modeling color transformations sometimes requires wavelength-specific information, such as when modeling subtractive color mixture.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Attributes Shape the Embedding Space of Face Recognition Models
Improving Large Language Model Safety with Contrastive Representation Learning
Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment
Boosting Vulnerability Detection of LLMs via Curriculum Preference Optimization with Synthetic Reasoning Data
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.