Efficient relighting of RBF-based illumination adjustable images.

Area of Science:

• Computer Vision
• Computer Graphics
• Image Processing

Background:

• Illumination adjustable images (IAI) enable relighting scenes under complex lighting conditions.
• Radial basis function (RBF) offers efficient IAI representation but requires many functions for high-frequency details, slowing relighting.
• Spherical harmonic (SH) is an alternative but less efficient for complex lighting.

Purpose of the Study:

• To investigate a partial reconstruction scheme for relighting IAI.
• To improve relighting speed while maintaining similar distortion performance.
• To address the limitations of conventional RBF and SH approaches for high-frequency lighting effects.

Main Methods:

• Developed a partial reconstruction scheme for IAI based on the locality of RBFs.
• Evaluated the proposed scheme against conventional RBF and spherical harmonic (SH) approaches.
• Focused on representing high-frequency lighting effects efficiently.

Main Results:

• The proposed partial reconstruction scheme achieves a much faster relighting speed.
• The new method maintains similar distortion performance compared to existing approaches.
• Demonstrated improved efficiency in handling high-frequency lighting effects.

Conclusions:

• Partial reconstruction of IAI based on RBF locality is an effective method for faster relighting.
• This approach offers a significant speed improvement over conventional RBF and SH methods.
• The scheme provides a viable solution for real-time relighting applications with complex lighting.