苹果自研图像传感器? 一项专利惊艳亮相

Core Viewpoint - Apple is potentially preparing a significant advancement in image sensor design that could transform everything from iPhones to professional cinema equipment, as indicated by a newly released patent for a "High Dynamic Range Low Noise Stacked Pixel Image Sensor" [1][3]. Group 1: Patent Details - The patent reveals a major advancement in imaging technology, suggesting a fully self-designed image sensor with a dynamic range expected to rival or exceed leading cinema cameras, claiming up to 120 dB dynamic range, equivalent to nearly 20 stops [3][11]. - The sensor architecture includes a stacked sensor chip on a logic chip, featuring a novel 3T pixel design that achieves high dynamic range and low noise without the artifacts common in traditional 4T pixel arrays [5][6][26]. - The sensor utilizes a lateral overflow integration capacitor (LOFIC) mechanism, allowing it to handle three levels of charge storage for light overflow, adapting automatically to extreme brightness or darkness [6][10]. Group 2: Technical Innovations - Each pixel contains a built-in noise sensing circuit that can detect and eliminate thermal noise in real-time, resulting in clearer images even in low-light conditions without the need for post-processing or AI techniques [8][9]. - The 3T pixel design, while typically simpler and noisier, benefits from the innovations mentioned, resulting in lower noise levels compared to standard 4T sensors, thus providing better performance with fewer components [9][20]. Group 3: Potential Impact - If implemented, possibly in future devices like the iPhone 17 Pro or Apple Vision Pro 2, this technology could allow Apple to reduce its reliance on Sony's high-end camera sensors and enter the image sensor market as a competitor [11][18]. - The advancements could lead to mobile devices capable of cinema-grade HDR, real-time noise-free video capture, and ultra-thin form factors with professional-quality imaging [14][16]. - The technology may redefine digital imaging standards not only in smartphones but also in the film industry, indicating a shift towards sensor-first innovations rather than software or AI enhancements [18][19].