# Realistic Defocus Blur for Multiplane Computer-Generated Holography

arXiv: https://arxiv.org/abs/2205.07030 · HTML: https://mlsanity.com/paper/2205.07030/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 48 references that are in the map.
- First posted on arXiv 14 May 2022.

## Builds on (most cited first, 4 of 4)

- [Time-multiplexed Neural Holography: A flexible framework for holographic near-eye displays with fast heavily-quantized spatial light modulators](https://mlsanity.com/paper/2205.02367/) (2022)
- [Solving Phase Retrieval with a Learned Reference](https://mlsanity.com/paper/2007.14621/) (2020)
- [Gaze-Contingent Retinal Speckle Suppression for Perceptually-Matched Foveated Holographic Displays](https://mlsanity.com/paper/2108.06192/) (2021)
- [Metameric Varifocal Holography](https://mlsanity.com/paper/2110.01981/) (2021)

## Built on by (most cited first, 3 of 3)

- [Stochastic Light Field Holography](https://mlsanity.com/paper/2307.06277/) (2023)
- [Configurable Holography: Towards Display and Scene Adaptation](https://mlsanity.com/paper/2405.01558/) (2024)
- [Complex-Valued 2D Gaussian Representation for Computer-Generated Holography](https://mlsanity.com/paper/2511.15022/) (2025)

## Abstract (arXiv)

This paper introduces a new multiplane CGH computation method to reconstruct artefact-free high-quality holograms with natural-looking defocus blur. Our method introduces a new targeting scheme and a new loss function. While the targeting scheme accounts for defocused parts of the scene at each depth plane, the new loss function analyzes focused and defocused parts separately in reconstructed images. Our method support phase-only CGH calculations using various iterative (e.g., Gerchberg-Saxton, Gradient Descent) and non-iterative (e.g., Double Phase) CGH techniques. We achieve our best image quality using a modified gradient descent-based optimization recipe where we introduce a constraint inspired by the double phase method. We validate our method experimentally using our proof-of-concept holographic display, comparing various algorithms, including multi-depth scenes with sparse and dense contents.