METHODS OF QUANTIZATION OF DIGITAL HOLOGRAMS BASED ON HISTOGRAM ANALYSIS: A HIGH-QUALITY NON-ITERATIVE ALGORITHM

Digital holography generates large volumes of data that require efficient storage and processing, where quantization plays a crucial role. Conventional uniform quantization often fails to adapt to the non-uniform statistical distribution of holographic data, resulting in degraded reconstruction quality. To address this challenge, histogram-based quantization methods have been developed, allowing adaptive allocation of quantization levels according to the actual data distribution. This article explores in detail the methods of quantization of digital holograms based on histogram analysis, with particular emphasis on a high-quality non-iterative algorithm. The algorithm avoids the computational complexity of iterative approaches by directly exploiting cumulative histogram analysis to assign quantization levels. Consequently, it ensures both efficiency and high fidelity in hologram reconstruction.