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What are the top-rated camera phones available in the market that offer exceptional image quality and feature-rich photography capabilities?
The image sensor size in a camera phone, not the megapixel count, is the key to better low-light performance, as it allows more light to be captured.
The f-stop value, which determines the lens's aperture, directly affects the depth of field and exposure in camera phone photography.
Optical image stabilization (OIS) in camera phones reduces camera shake and blur by moving the lens to compensate for hand movement.
Phase detection autofocus, used in high-end camera phones, is faster and more accurate than contrast detection autofocus.
Camera phones with multiple cameras use parallax error correction to align images from each lens, ensuring a more accurate representation of the scene.
Advanced noise reduction algorithms in camera phones use techniques like wavelet denoising to remove grain and preserve image detail.
Computational photography, used in phones like the Google Pixel, employs machine learning algorithms to enhance images through multi-frame processing.
The Bayer filter, used in most camera phones, is an array of tiny color filters that capture light and create a color image.
Dual-LED flashes in camera phones use pulse-width modulation to adjust brightness and reduce red-eye effect.
The 60x digital zoom feature in some camera phones uses a combination of optical and digital zoom to achieve such high zoom ratios.
The ISO setting in camera phones, which controls sensor sensitivity, can greatly impact image quality, with higher ISOs introducing more noise.
The 4K video recording capability in high-end camera phones requires advanced image processing and stabilization to maintain smooth footage.
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