Three-dimensional integral image reconstruction based on viewpoint interpolation

This paper presents new algorithm for improving the visual definition quality of real integral images computationally throughimage reconstructing. The proposed algorithm takes advantage of true 3D “Integral imaging”. A real world scene is recorded based on the fly's eye technique, which is simulated by an array of microlenses‥ The proposed method works on orthographic viewpoint images, where shift-and-integration of the neighboring viewpoints are used with quadratic interpolation to increase the visual quality on the final image. This process returns a standard photographic image with enhanced image quality. Detailed experiments have been conducted to demonstrate the effectiveness of proposed method and results are offered.