用新型光学算法协同设计,让手机实现超紧凑长焦拍摄
MetaTele: Compact Refractive Metasurface Computational Telephoto Camera

- 分离结构与色彩采集,用超薄镜头+算法融合成像
- 实测13mm厚度下达成0.44的超低望远比,突破手机限制
- 适合追求轻薄长焦的手机厂商和影像科研者
智能手机相机受限于物理尺寸,难以实现高倍率变焦,主要因传统折射光学系统无法将望远比(总跟踪长度与有效焦距之比)降至0.5以下,否则需多片笨重镜片校正像差。本文提出MetaTele,一种光学-算法协同设计的新方案。该系统通过紧凑的折射-超表面光学组件,在窄波段捕获高细节结构图像,天然规避严重色差;同时利用相同光学路径获取宽带色彩信号,尽管存在严重色差,但仍保留足够光谱信息用于后期处理。随后采用定制的一步扩散模型,将两组原始数据融合,成功完成结构图像上色并校正系统像差。我们实现了MetaTele原型机,仅13mm厚度即达到0.44的前所未有的望远比,为手机实现单反级长焦能力铺平道路。
原文摘要 · Abstract (English)
Smartphone cameras face fundamental form-factor constraints that limit their optical magnification, primarily due to the difficulty of reducing a lens assembly's telephoto ratio, the ratio between total track length (TTL) and effective focal length (EFL). Currently, conventional refractive optics struggle to achieve a telephoto ratio below 0.5 without requiring multiple bulky elements to correct optical aberrations. In this paper, we introduce MetaTele, a novel optics-algorithm co-design that breaks this bottleneck. MetaTele explicitly decouples the acquisition of scene structure and color information. First, it utilizes a compact refractive-metasurface optical assembly to capture a fine-detail structure image under a narrow wavelength band, inherently avoiding severe chromatic aberrations. Second, it captures a broadband color cue using the same optics; although this cue is heavily corrupted by chromatic aberrations, it retains sufficient spectral information to guide post-processing. We then employ a custom one-step diffusion model to computationally fuse these two raw measurements, successfully colorizing the structure image while correcting for system aberrations. We demonstrate a MetaTele prototype, achieving an unprecedented telephoto ratio of 0.44 with a TTL of just 13 mm for RGB imaging, paving the way for DSLR-level telephoto capabilities within smartphone form factors.
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