It’s a Savage War for the Best Smartphone Camera in 2019

Google has relentlessly troleld iPhone users, with the launch of the Google Pixel that competes direclty with the Apple smartphone. In the past, they have spoken of having “no unsightly bump camera”, having the best camera, and on not having a version number when the iPhone 7 was released.

This time around, Google has trolled iPhone users with its ‘new sight’ ad campaign for the new rnage of Pixel handsets. With the Pixel 3 Google has set out to boast of ‘night sight’ capabilities. This feature uses AI to take pictures in low light but generates good results. Pixel 3 features a 12.2MP auto-focus dual pixel sensor with 1.4um pixel size, f/1.8 aperture, OIS and EIS. On the other hand, the iPhone XS features a 12MP sensors with f/1.8 aperture and f/2.4 aperture and  OIS.

It must be added that Pixel 3’s ‘new sight’ feature doesn’t give natural looking results. However, it is still better than the low quality night photos we get on an iPhone.  

Interesingly, Google also launched an ad campaign that boasts of Night Sight abilities and compared it with the photos taken on iPhone XS. We believe that the Apple iPhone XS is yet to match Google’s tech in order to bring out bright photos like Pixel 3.

Google’s ‘Night Sight’ camera feature in Pixel 3 has received appreciation from people across the globe. The camera uses a set of upgraded features such as motion metering and positive shutter lag to bring out the quality of photos under low-light settings. In fact Google’s computational camera tech is what drives the ‘night sight’ camera.

Apple not one to take things hands down, is working on smart HDR that shoots four frames with zero-shutter lag. It is sure to analyze everything and come back stronger than Google.

With both the giants at loggerheads, it is clear that they are now in the rat race of computational photography. According to this tech, the image quality does not improve simply by changing the hardware or software but requires a lot of raw data that feeds in to algorithms improving the image quality.