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.