The effect of the local error in the display module on the reconstructed image quality of the integral imaging system is analyzed. First, the geometric optics and the ray tracing theory are utilized to build the local error theoretical model based on the integral imaging principle by considering the optical axis transform and the pixel information dislocation. The simulation experiments are carried out to verify the validity of the above analysis. Experimental results show that the homologous points on EIs form two separate images. The separation distance depends on the local error, the size of the lenslet and the magnification ratio of the integral imaging system.
Image fusion method is an algorithm that synthesizes images from different sources into a new image. The advantage of image fusion technology is that different image information presented by multi-source sensors can complement and improve each other to extract the effective information in the source image. It can also obtain a more effective and richer image with description information. According to the technical methods of image fusion, an improved image fusion method for fast non-downsampled contourlet transform (NSCT) was selected for handheld. The source infrared image and source low-light image collected by the observer were image fusion. In this method, the scale filter and the directional filter were convolved respectively in the composition of image decomposition and reconstruction to reduce the number of iterations of image decomposition and reconstruction, improve the efficiency of algorithm operation, and ensure that the system worked in real time.
KEYWORDS: Image quality, Integral imaging, Imaging systems, 3D image reconstruction, 3D image processing, 3D displays, Quantitative analysis, Geometrical optics
We quantitatively analyze the effect of the tilted misalignment between the display panel and the reconstruction lenslet array on the reconstructed image quality in integral imaging system. First, the geometric optics and the ray tracing theory are utilized to build the tilted misalignment theoretical model based on the integral imaging principle by considering the optical axis tilt and the pixel information dislocation. Then, the degradation of the image quality in the integral imaging system resulted from the tilted misalignment is simulated on the basis of the model mentioned above. Finally, the peak signal-to-noise ratio (PSNR) is introduced to quantitatively characterize the influence degree of the tilted misalignment on the reconstructed image quality, and the limitations of the tilted misalignment are given corresponding to the human vision system observable threshold for different distance between the display panel and the reconstruction lenslet array. Experimental results show that the smaller the distance between the display panel and the reconstruction lenslet array is, the larger the tilted misalignment limitation is. Research results will provide theoretical support for the parameters design and assembly of the display module in an integral imaging system.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.