Here are some sample photos captured with the vivo X90 Pro+

12 November 2022
These come courtesy of a well-known leakster and showcase the capabilities of the IMX989.

Sort by:

  • S
  • S Yu
  • vU9
  • 30 Nov 2022

mooox, 29 Nov 2022🤣 you obviously don't know anything about signal proce... moreYou'd better come up with a proper argument rather than ad hominem if you don't want to humiliate yourself, for all I know you're just a keyboard warrior without a clue about what you're saying🤣

    • m
    • mooox
    • ucw
    • 29 Nov 2022

    S Yu, 28 Nov 2022I don't know who you think you are or if you actually ... more🤣 you obviously don't know anything about signal processing, or image compression. Better to come back to the discussion after you have at least an undergraduate or masters degree in the field.

    Hint: technology can't be understood by a 5 minute read on wiki

      • S
      • S Yu
      • vU9
      • 28 Nov 2022

      mooox, 27 Nov 2022I can't tell if you're trying to spout nonsense a... moreI don't know who you think you are or if you actually understood the argument in the first place.

      >you CANNOT tell the SNR of a phone camera sensor by looking at photo that's already been processed by the AI or photoshopped

      You CAN, if the difference is large enough and that's the whole point. If "AI" or "photoshop" could overcome the limit of the pipeline's SNR then what do you need the sensor for, what do you need the ISP for? One day machine learning may really yield a passable image without even a lens, but that doesn't happen today, especially not with phone algorithms insisting on ZSL.

      > if you can tell that there are sharpening artifacts, you can already tell that the image quality is NOT affected by the image compression. Sharpening artifacts come from image processing, not compression.

      What kind of joke is this? Compression is one step(preferably the last, but unfortunately not in the case of most imaging devices) of image processing! FOR THE RECORD, downsampling IS a form of compression, which judging by your reaction is knowledge you seem to be lacking. And downsampling DOES mask the actual difference in SNR, which in effect masks the quality of the sensor and hardware level processing, yes, actually look it up on Wikipedia. REGARDLESS, sharpening artifacts may readily be visible whatever the compression applied, because sharpening could be intensive, surviving compression afterwards, or could be applied after compression!

        • m
        • mooox
        • ucw
        • 27 Nov 2022

        S Yu, 14 Nov 2022Laughable. The resolution is p@thetic and severe downsampli... moreI can't tell if you're trying to spout nonsense about image processing to confuse me, or you actually believe that you understand what you googled up on wikipedia.

        Just for record purposes, you CANNOT tell the SNR of a phone camera sensor by looking at photo that's already been processed by the AI or photoshopped. Just what do you think the ISP on the phones do?

        Also for record purposes, if you can tell that there are sharpening artifacts, you can already tell that the image quality is NOT affected by the image compression. Sharpening artifacts come from image processing, not compression.

          • v
          • vlag
          • p3y
          • 15 Nov 2022

          Does it have an ND filter for that water picture?

            • S
            • S Yu
            • vU9
            • 14 Nov 2022

            Aierlan, 13 Nov 2022No idea where they came from. Probably from social media li... moreWeibo quality is generally poor, but this seems somewhat less compressed than what I usually see on Weibo. It's passable for promotional purposes but tells very little about the actual quality, which is basically the point, and in line with what I see from many brands. However, that makes repost by a site like GSMA nearly pointless.

              • S
              • S Yu
              • vU9
              • 14 Nov 2022

              mooox, 13 Nov 2022The compression used is negligible and transparent to most ... moreLaughable. The resolution is p@thetic and severe downsampling masks the actual SNR, which is fundamentally "quality" in its quantifiable sense. Some sharpening artifacts are also readily visible even at this resolution.

                • m
                • mooox
                • ucw
                • 13 Nov 2022

                Anonymous, 13 Nov 2022Why are they posting compressed photos then? Thats question... moreThe compression used is negligible and transparent to most people. Most people will see JPG artifacts before they notice any detail loss.
                AFAIK no one has ever made available raw images as marketing materials - it's always a highly photoshopped photo that's "leaked", and almost 100% of the time in JPG, which is file format that is lossy and compressed.

                  • m
                  • mooox
                  • ucw
                  • 13 Nov 2022

                  Aierlan, 13 Nov 2022How can you judge details from a 400-500kb compressed image... moreWhether there are details or not, is obvious regardless of compression. Where there is significant compression, the biggest worry is not that you lose "details" but more the artifacts introduced by the compression. Given that you don't see any obvious JPG compression artifacts in images, you can be sure that that compression is not an issue.

                  You can definitely tell what details there should be from a 500kb compressed image. You can even tell from a 100kb compressed image.

                  You don't know what you're talking about if you did not notice the mushy shadows in some of the photos. For example:
                  Bench shot: an experienced person will tell you that the sensor lacks dynamic range, and the images are computed HDR from a single image instead of bracketing.
                  Rock in stary sky shot: Fake composite shot with false sky, simulated HDR shot. The murky rocks at the bottom shows clear sign of aggressive noise reduction while rock in the middle is devoid of noise reduction (likely shot in the day), and the sky is shot differently - bad uneven composite.
                  Guy with headlight shot: Sus shot where the light from the guy's headlight can light up the sky but does not reflect off the rock, instead the rock is dark where there should be light reflection. Shadows casted on the rocks are different from the shown light source. That said, looking at the lighted peaks of the rock and the cliff on the left hand side, you can see that the left side has super murky shadows. There's absolutely no tonal details.

                  In contrast, take a look at photos taken with proper DSLR. Even with super compressed photos of 58kbs, you can see the tonal details in the shadows in all the shots with a little bit of light.
                  https://petapixel.com/2017/09/09/ive-learned-shooting-night-alps/

                    • ?
                    • Anonymous
                    • 3p7
                    • 13 Nov 2022

                    Ok so what are we talking about here. Why gsmarena posting compressed photos? Its nonsense.

                      Anonymous, 13 Nov 2022Why are they posting compressed photos then? Thats question... moreNo idea where they came from. Probably from social media like Weibo which compresses all photos anyway. You can download them here on gsmarena and see the tiny file sizes so it's impossible to judge anything from these photos

                        • t
                        • techois
                        • anG
                        • 13 Nov 2022

                        is I only me blor i still think photos in auto mode are too warm and saturated? (i used to own x60 pro plus and recently the x80 pro)

                          • ?
                          • Anonymous
                          • Lkg
                          • 13 Nov 2022

                          Anonymous, 13 Nov 2022Why are they posting compressed photos then? Thats question... moreVivo did not upload compressed, many websites and social media platforms apply heavy compression to photos and video.
                          Even youtube does it, at very high level.

                            • d
                            • dishonored
                            • rpK
                            • 13 Nov 2022

                            you know guys your screen plays a role in how the picture look like
                            Have the Zenfone 9 and with my pc a benq 2k ips 144hz
                            and take my word when i say its totally different
                            2-am not sure about my claims here... but uploading the picture in facebook or whatsapp the algorithm will change so it adapts
                            and maybe gsmarna team got it from their or they have the same mechanics to "adapt the picture"

                              • ?
                              • Anonymous
                              • 3p7
                              • 13 Nov 2022

                              Aierlan, 13 Nov 2022How can you judge details from a 400-500kb compressed image... moreWhy are they posting compressed photos then? Thats question.. new marketing? :D

                                • m
                                • mooox
                                • ucw
                                • 13 Nov 2022

                                .alpha, 12 Nov 2022Looking great. No sign of overprocessingStrange. I would say that every photo is over processed... Too fake and too unnatural. The tonal curves that they use to process the photos are not generally pleasing with contrast punched up way too high. The tonal details are all lost.

                                As a former professional photographer, I would say that this is easily one of the worst "flagship" phone camera photos I've ever seen.

                                BTW most of the night shot photos look like obviously faked/composite shots with signs of photoshop by someone who does not think that light needs to observe the law of physics in these shots. There are so many things wrong with a few of the shots I don't even know how people don't say anything about it.

                                I mean come on, an over-sharpened bridge shot with fast exposure, half slow exposure (look at the people on the bridge), and long exposure (the blurry water), and yet there are visible streaks in the water.
                                If one argues that the water moving that fast in the river, the leaves would not be standing still for such a shot.
                                If you argue that the phone processed the leaves to keep it sharp, then why does it sharpen the bridge and yet neglect to "sharpen" the people?

                                Then, you compare it to the shot with a bench by the lake, it's just puzzling why the "night" shot would be so sharp with more details than an evening shot (look at the leaves and the mush of colours). One possible explanation is that the phone is forcing HDR from a single frame, and it shows that the sensor has very poor dynamic range - then it makes you question why different shots have different exposure composition.

                                My conclusion, is that these are marketing shots faked to trick the public as "leaked" shots.

                                  Anonymous, 12 Nov 2022Look how mushy details are in shadows. How can you judge details from a 400-500kb compressed images. They are like compressed images sent on WhatsApp

                                    Anonymous, 12 Nov 2022Look how mushy details are in shadows. It's a compressed image not an original photo. Look at the fike size. It is impossible to get any idea of detail from these pictures. You need the original full size ones

                                      Most of the photos from the 1inch sensors aren't really better than the general larger sensors in smartphones. I guess the 1inch sensors can't read out fast enough. Plus the processing needs reworking. Some of the pics seem decent, without overprocessing. Others have bad processing shown clearly.

                                        • ?
                                        • Anonymous
                                        • MYU
                                        • 13 Nov 2022

                                        The photos does look impressive, but I won't hold my breath. I'll wait until GSMArena do a full review of Vivo X90 lineup.

                                          1 of 3