Here is a full camera comparison between the newly launched Realme Narzo 50 Pro and the Redmi Note 11 Pro+.
The Realme Narzo 50 Pro has just been unveiled by the former OPPO sub-brand as a new entry into the mid-range market. It would appear that like Realme’s signature number series, the Narzo brand has also spread its wings to venture into higher price segments than just being limited to the budget realm. At a starting price of Rs 21,999, the device goes head-to-head with the Redmi Note 11 Pro+ (review). This comparison piece will focus, excuse the pun, on both phones’ camera performance. The camera layout is similar in terms of the lens variety on each and it will be quite interesting to find out the differences in their image-taking prowess. On the Realme Narzo 50 Pro, the primary camera is a 48MP Samsung sensor which is supported by an 8MP ultra-wide and a 2MP macro shooter. The Redmi Note 11 Pro+ (pictured below) has a 108MP Samsung HM2 lens as the primary camera while the 8MP ultra-wide and 2MP macro sensors remain the same as the Narzo. Both phones click pixel-binned shots by default that are 12MP in resolution. I have kept HDR on auto and turned off any AI-based enhancements to get the most natural possible shot. In bright lighting, I can see that both devices offer plenty of details on the subject alongside instant focus and shutter speeds. However, while the natural colour science on Redmi’s photo is evident clearly, Realme has oversaturated the image. The exposure levels are slightly higher on the latter giving a more prominent look at the detailing in the shadows. The dynamic range is better on the Redmi Note 11 Pro+ but not by much while neither phone oversharpens the image. My eyes gravitate more towards the natural tones provided by the Redmi image so I’m giving this round to the Note 11 Pro+. Winner: Redmi Note 11 Pro+
Of course, the Redmi Note 11 Pro+’s full resolution capabilities are more than double that of the Realme Narzo 50 Pro. Even so, as I’ve stated in a previous comparison, higher megapixel count is never a sure-shot way to determine better image quality.
