Perceptually motivated loss functions for computer generated holographic displays

Abstract

Understanding and improving the perceived quality of reconstructed images is key to developing computer-generated holography algorithms for high-fidelity holographic displays. However, current algorithms are typically optimized using mean squared error, which is widely criticized for its poor correlation with perceptual quality. In our work, we present a comprehensive analysis of employing contemporary image quality metrics (IQM) as loss functions in the hologram optimization process. Extensive objective and subjective assessment of experimentally reconstructed images reveal the relative performance of IQM losses for hologram optimization. Our results reveal that the perceived image quality improves considerably when the appropriate IQM loss function is used, highlighting the value of developing perceptually-motivated loss functions for hologram optimization.

Non-convex optimization for inverse problem solving in computer-generated holography

“…In such a framework, the object constraint is imposed through the minimization problem itself, while the hologram constraints are applied using the partial derivative , which is calculated in each update of optimization. Although we write in a general form of stochastic scalar function with respect to the reconstructed intensity I ( ϕ ) and the object intensity I obj , the choice of is actually of great diversity for hologram synthesis 135 , 136 . In many CGH implementations, is composed of a sum of subfunctions evaluating reconstructing errors 137 , and a normalization term is occasionally added to balance other reconstruction parameters 132 , 138 .…”

Waveguide Holography: Towards True 3D Holographic Glasses

“…It also offers unique benefits such as aberration-free high resolution images, per-pixel depth control, vision correction functionality [16][17][18] , as well as large color gamut. Recently, a lot of progress has been made in the field of computer-generated hologram (CGH) rendering, getting more attentions from the industry [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33] . Many conventional issues of holographic displays such as speckle, image quality issue, and heavy computation load are demonstrated to be solved by aid of better CGH rendering model and improved computation power of recent graphics processing units (GPU) [34][35][36][37] .…”