Holography is a prominent 3D display approach as it offers a realistic 3D display without the need for special glasses. Due to advancements in computation power and optoelectronic technology, holographic displays have emerged as widely appreciated technology among other 3D display technologies and have drawn a lot of research interest in recent years. The core of dynamic holographic displays is spatial light modulator (SLM) technology. However, owing to the limited resolution and large pixel size of SLMs, holographic displays suffer from certain bottlenecks such as limited field of view (FOV) and narrow viewing angle. To develop a holographic display at the commercial level, it is crucial to solve these problems. A variety of probable solutions to these challenges may be found in the literature. In this review, we discuss the essence of these approaches. We study the important milestones of the various methodologies from three primary perspectives: devices, optical systems, and algorithms employed for FOV extension, and provide useful insights for future research.
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What stands out is that the difficulty is often not only in modeling or data extraction, but also in how outcomes are contextualized. When systems involve multiple interacting variables or indirect representations, interpretation becomes a critical step in bridging theory and real-world understanding.
In that sense, there is a valuable connection between formal analysis and human-centered interpretation. Similar challenges appear in many domains where individuals need to process incomplete or evolving information. Some perspectives approach this through **[contextual reflection frameworks](https://www.ichizenn.com/koi-mikuji/)** that help structure thinking and reduce ambiguity when dealing with uncertain or complex outcomes.
Exploring how structured analytical approaches can be complemented by improved interpretive frameworks could be a useful direction for future work, particularly in areas where uncertainty and variability remain central considerations.
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