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Learn the Basic Camera Stabilizer TechniqueCapturing sharp is hard sometimes. When taking a photo using high zoom lenses even the smallest camera movement will result in a blurry photo. The reason for blurry images is that while the shutter is open and the photo is being captured the camera moves and the image on the sensor also moves losing its sharpness. Camera stabilizers can help help in capturing smoot, professional-looking images. The best solution for camera movements is of course to eliminate the movements. Sometimes this can be accomplished by using a tripod or placing the camera on a stable surface when taking the photo. However in many situation it is impossible to completely steady the camera, when taking photos of fast objects in high zoom. When movement elimination is not possible other solutions can be used that instead of preventing the movement compensate for it and prevent its symptom: blurry photos. Such solutions are also known as camera stabilization. There are many different implementations of image stabilizers and many manufacturers keep their implementation details secret to prevent competitors from copying it. An image stabilizer implementation can be divided into two- detecting the movement and compensating for it. Detection is the mechanism that detects that the camera moved while shooting a photo. Compensation is the mechanism that for detected movements compensates to prevent the movement symptoms. Moving the lens corrects the angle in which the light hits the image sensor compensating for the movement. The sensor is a chip behind the lenses that converts the light reflected on it to digital pixels. When a movement is detected the sensor is slightly moved in the opposite direction to compensate for it. Gyroscopes or equivalent sensors could be used to detect movements though many stabilizers use a DSP processor that analyzes the image on the sensor in real time to detect movements eliminating the need of another mechanical part. The advantages of any stabilizer is to achieve sharper photos while practically eliminating blurriness in most common scenarios. Sensor based detectors work very well in low light scenarios since they detect actual physical movement while DSP processors based detection is less effective in low light scenarios and more prone to errors. It’s the added cost, size and weight to the camera are some of the disadvantages.