  Integral imaging-based cryptographic algorithms provides a new way to design
secure and robust image encryption schemes. In this paper, we introduce a
performance-enhanced image encryption schemes based on depth-conversion
integral imaging and chaotic maps, aiming to meet the requirements of secure
image transmission. First, the input image is decomposed into an elemental
image array (EIA) by utilizing a pinhole array. Then, the obtained image are
encrypted by combining the use of cellular automata and chaotic logistic maps.
In the image reconstruction process, the conventional computational integral
imaging reconstruction (CIIR) technique is a pixel-superposition technique; the
resolution of the reconstructed image is dramatically degraded due to the large
magnification in the superposition process as the pickup distance increases.
The smart mapping technique is introduced to improve the problem of CIIR. A
novel property of the proposed scheme is its depth-conversion ability, which
converts original elemental images recorded at long distance to ones recorded
near the pinhole array and consequently reduce the magnification factor. The
results of numerical simulations demonstrate the effectiveness and security of
this proposed scheme.
