Abstract
Holography has emerged as one of the most attractive three-dimensional display technologies. With the technological development of computer science and coherent light source, the computer-generated holography has been applied in many fields. However, the speckle noise of the holographic reconstructed image seriously affects the viewing experience. In this paper, the cause of speckle noise generation in holographic display is introduced. Then, discussions about the speckle noise suppression methods are provided. The discussions are categorized into iterative and non-iterative approaches. Besides, we also introduce other speckle noise suppression techniques which are proposed from the perspective of light coherence, human visual system and optical system. Finally, the prospects of different types of approaches are summarized.
Highlights
Based on the reconstruction process, we introduce other speckle noise suppression techniques which are proposed from the perspective of light coherence, human visual system and optical system
Compared with the zero-padding method, the peak signal-to-noise ratio (PSNR) of the reconstructed image based on the intermediate angular-spectrum method (IASM) method can be improved by 36%
The reason of the speckle noise generation in holographic display is provide by analyzing the hologram generation process and the reconstruction process
Summary
It is generally considered that the speckle noise in holographic displays is generated from the quantization error and the spatial coherence. Due to the quantization error, the speckle noise is generated by the uncontrolled coherence effects of the reconstructed image. The random phase is a generator to ensure that the recorded object information spread completely over the CGH, it is the main cause of the speckle noise generation (Shimobaba and Ito, 2015). During the optical holographic reconstruction, coherent light sources and optical devices are the causes of the speckle noise generation. PSNR is the most commonly used objective measurement method for evaluating image quality, which can be defined as follows: FIGURE 2 | Propagation model for the hologram generation (A) without random phase (B) with random phase. SC is the simplest parameter to evaluate the speckle noise of the reconstructed image, and it satisfies the following equation:
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