Apple's mobile phone pixel is not as good as Android, why is the photo effect better than Android?

There is a very bad understanding in the low pixel market, that is, the higher the pixel, the better the photo effect. The fact is that at least the period of iPhone5,12 million, cannot exceed 8 million. But Japanese and Korean manufacturers like Sony and Samsung don't have the courage to say no to users. You want high pixels? I'll give it to you.

And Apple dares: In the choice of camera, Apple always prefers low pixels. Remember Steve Jobs at the iPhone4 (? ) keynote for calculating the size of a single pixel at the press conference? He just wants to tell the user that the pixel height is not necessarily good. Unfortunately, it is as strong as Jobs, but it has not reversed the understanding of the market. Consumers who only know elementary school arithmetic are still keen on comparing pixel numbers. Today, this kind of brain-dead understanding is still deeply rooted in people's hearts. Fortunately, the excellent single-pixel quality of iPhone provides more protection for an excellent photo, and its photo effect is gradually recognized by users.

Maybe some children's shoes don't know. Jpg format pictures do not record the captured light and shadow truthfully, but are optimized inside the camera, and the raw file is the relatively original and complete material. However, the raw file, which can truly reflect the strength of photographic equipment, does not exist (almost) in the mobile phone photography market, which emphasizes convenience and randomness. First, because most mobile phones do not support raw format output, jpg files are directly generated, and jpg directly represents the final imaging quality of the device; Second, from the perspective of market positioning, most users who take photos with their mobile phones do not have high requirements for fineness and authenticity, so even if they provide a large and original raw format, people don't like to use it.

Therefore, for mobile phones that need to directly process all kinds of light and shadow raw data into jpg, processors and algorithms have great influence. You know, when shooting, once there is a problem with your photometry, which leads to overexposure or underexposure of some scenes, the details of highlights or shadows will be greatly lost, and the overall saturation and contrast of the picture will be significantly reduced. At this time, no matter how good your hardware is, your photos are not good. What's the use? You can't expect users to know the skills of adding white to black, reducing exposure and compensating. However, if the white balance is not accurate, some photos will have color cast, such as red clouds, yellow green leaves and blue food, which will destroy the artistic conception. Even if your hardware is awesome and your photos are not good, what's the use? Do you expect users to know how to adjust the color temperature? There are still so few color temperature options for mobile phones. For another example, if your noise reduction algorithm is not very intelligent, resulting in less noise and great loss of details when shooting at night, will there be any advantages based on hardware? Some manufacturers are so contradictory.