In this new video, photographer Simon d’Entremont addresses the issue of whether or not high megapixel camera bodies are worth it for photography. He aims to help viewers decide if they need a high megapixel camera and whether or not upscaling software can replace the need for one:
The megapixel count of a camera refers to how many million pixels its sensor has. The more megapixels crammed into the same area, the smaller the pixels, and theoretically, the finer detail that can be captured. Simon suggests that a higher megapixel count may not be necessary for large prints because the resolution needed for printed material is only 300 pixels per inch (PPI). As viewing distance increases, the resolution needed to make an acceptable print decreases. For example, billboards use 15 PPI. Therefore, any 20-24-megapixel camera can make large prints of acceptable sharpness.
Simon also discusses upscaling software, which is becoming more widely available and is starting to cut into the advantage of high megapixel cameras by allowing a resolution increase to lower megapixel photos while keeping sharpness and clarity. He also dispels the common belief that lower megapixel cameras have less noise than higher megapixel cameras. He claims that basic noise reduction software, like Lightroom or Photoshop, can yield a similar amount of noise and detail, making lower noise not a good reason to choose a lower megapixel camera.
The decision to buy a high megapixel camera depends on specific needs, such as deep cropping or clients that require pixel dimensions. Simon suggests that 20-24 megapixels is plenty for most other genres of photography and may be more budget-friendly. Investing in a high-quality lens and other features, such as a better autofocus system or dual card slots, may be more beneficial. Ultimately, lower megapixel cameras should not be dismissed because they can still produce excellent images.
Learn more: Gigapixel AI Upscaling Software
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The post Understanding the Real Value of Megapixels in Photography appeared first on PictureCorrect.
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