Additionally, a general algorithm for pseudoscopic to orthoscopic imaging convention, known as the Smart Pseudoscopic-to-Orthoscopic Conversion (SPOC) method, was introduced in [16]. This method also provides full control over display parameters to generate synthetic elemental images for an InIm optical display system.  
Another challenge in InIm optical display is the limitation of image depth. A simple method to improve image depth was proposed in [17] by displaying a 3D image within the real and virtual imaging fields. The multiple-plane pseudoscopic to orthoscopic conversion (MP POC) method [18] offers more precise pixel mapping, leading to improve 3D display results. By utilizing these methods, enhanced 3D visualization in InIm optical display becomes possible.  
For a given display system, the acceptable display range (along the z-axis) is constrained by light diffraction and the resolution of the pixelated imaging device. Additionally, the field-of-view (FoV) of a display device (x-y axis plane) is fixed. However, in practical applications, the captured 3D scene often has varying depth ranges and scene sizes, which may not match with the constraints of the display system. As shown in Figure 1, when the depth range of a 3D scene exceeds the capabilities of the system or the scene size surpasses dimensions of the display device, achieving a fully visible and high-quality 3D display becomes challenging. To address this issue, some research works have been reported. In [19], a scaling method that adjusts the special ray sampling rate using a moving array-lenslet technique (MALT) was investigated. Multi-depth fitting fusion was investigated in [20]. Another method in [21] employed an intermediate-view reconstruction technique to magnify 3D images in an InIm system. In [22; 23; 24], tunable focus techniques have been introduced, utilizing cropped elemental image and focus-tunable lens. Recently, transmissive mirror and semi-transparent mirror have been integrated with an integral imaging display for depth of field and resolution-enhanced 3D display [25]. However, these methods primarily focused on two-dimensional scaling (depth in z or field of view in x-y) and may require pre-processing or specialized devices. Table 1 presents a comparative summary of the methods described above, including key features and corresponding limitations of each approach.  
To optimally display the captured 3D scene for a specific display system, we propose a computational approach that regenerates elemental images through depth rescaling and scene resizing. The depth rescaling process adjusts the depth range of the captured scene to match the acceptable range of the display device, while the scene resizing process modifies the field-of-view to fit the display dimensions. By fully utilizing the display capacities of the system (acceptable depth range in z direction and the field-of-view in x-y directions), optimal display results for a specific display system can be achieved.  
Figure 1: (**a**) Pickup process of integral imaging. (**b**) 3D optical display of integral imaging. The captured 3D scene exceeds the acceptable depth range of the display system (z-axis) and field-of-view (x-y axis), leading to visualization constraints.  
This paper is organized as follows: Section 2 details the proposed depth rescaling (z-axis). In Section 3, the proposed scene resizing (x-y axis) process is explained. Section 4 details the 3D display experimental results. Conclusions are given in Section 5.