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手ぶれ補正の基本|ジンバル・カメラ設定・編集で見やすい映像にする方法

Image Stabilization Basics | Gimbals, Camera Settings, and Editing for Easy-to-Watch Footage

Image stabilization is an essential technology in photography and video, and it has evolved considerably in recent years. Alongside traditional optical image stabilization (OIS) and electronic image stabilization (EIS), newer techniques use more advanced approaches to improve the shooting experience. Here, we introduce some particularly notable developments.

In-Body Image Stabilization (IBIS)

IBIS is a sensor-shift stabilization technology built into the camera body. It reduces shake within the body even when the lens has no stabilization. It is increasingly used in mirrorless cameras, and dual stabilization combining in-body and in-lens systems has emerged. This makes it possible to reduce shake effectively, particularly in low light or during long exposures.

AI-Powered Stabilization

Stabilization using artificial intelligence (AI) is also advancing. AI algorithms analyze movement frame by frame in real time, predicting and correcting camera shake and the operator's movements. This enables greater precision than conventional stabilization techniques. It is becoming particularly common in smartphone cameras and is effective in night modes and when photographing moving subjects.

Integrated Gimbal Stabilization

Systems that incorporate gimbal technology into the camera body have also appeared. By allowing the camera itself to act as a gimbal in situations that once required an external one, equipment has become lighter and more compact. Widely used in action cameras and drones, this technology provides smooth footage even during intense movement, enabling high-quality action and sports filming.

Multi-Axis Sensor Stabilization

Multi-axis stabilization goes beyond conventional two- or three-axis correction to offer five axes or more. It precisely corrects not only vertical and horizontal movement but also rotation and tilt. This is becoming standard in professional cameras and is effective in filmmaking and high-end video production.

Stabilization Through Computational Photography

Computational photography reduces shake by combining multiple images or applying digital processing. It analyzes several shaky frames and combines the best image information to reduce shake effectively. In smartphone cameras, this technology is particularly useful at night and in low light.

Conclusion

The latest stabilization technologies combine AI, multi-axis correction, and gimbals to provide smoother, steadier footage. These advances are especially significant in smartphones and action cameras, greatly improving the shooting experience. Further developments are expected in this field.

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