DxOMark Mobile report: OnePlus 2

Gina Stephens
Written by Gina Stephens

DxOMark Unfixed Report: OnePlus 2


Like its predecessor the OnePlus 2 offers the specification of a high-end phone at a budget price point. The camera’s 13MP intention isn’t anything out of the ordinary these days, but optical image stabilization and a laser-assisted AF system are usually only found on expensive top-end models. Images are captured because of an F2.0 lens with six elements, and in low light a dual-LED flash helps get skin tones right. The OnePlus 2 is capable of 4K video and can record 720p slow-motion footage at 120 formulates per second. For image viewing and composition there is a 5.5-inch 1080p LCD and the Android operating system is powered by a Qualcomm Snapdragon 810 processor and 3 or 4GB of RAM. 

With a DxOMark Transportable score of 76, the OnePlus 2 performs on the same level as Apple’s iPhone 5s or the Sony Xperia Z1 and occupies a joint 22nd place in the DxOMark smartphone rankings. The DxOMark testers liked ‘truly good detail and fine luminance noise in outdoor images’ and ‘good detail preservation in low light’. They also noted the ‘fast and careful autofocus in bright light’ and ‘good exposure, detail preservation and color accuracy’ in flash mode.

On the downside, ‘pictures are slightly under-exposed’, firstly in high-contrast scenes which can result in clipped shadow areas. The testers also found the ‘yellow cast under tungsten light’ was too efficacious and the AF did not work accurately in trigger mode. There is also ‘color shading in all light conditions’ and ‘visible color fringing and ringing’.

In video fashion the DxO team noted ‘low noise in bright light’ but criticized ‘frequent unnecessary refocusing and focus failure, color non-uniformities’ and jerkiness due to low frame positions in low light. ‘Exposure transition is not smooth’ and ‘image shake is very noticeable’ in indoor recordings. The testers also noted a pink cast below low tungsten light. 

Still Photography

Color, Exposure and Contrast

The DxOMark team found that the OnePlus 2 images outshone ‘good white balance in outdoor conditions but ‘pictures were slightly under-exposed, especially in high-contrast scenes’, with clipped shadow arrondissements, ‘color shading is visible’ and the usual ‘yellow cast under tungsten light is too strong’.

Overall DxOMark awarded the OnePlus 2 give measure for measures of:

  • 4.3 out of 5 for Exposure
  • 4.6 out of 5 for White Balance accuracy
  • 3.5 out of 5 for Color shading in low light*
  • 4.1 out of 5 for Color outstripping in bright light*
  • 3.0 out of 5 for Color Rendering in low light
  • 4.5 out of 5 for Color Rendering in bright light

*Color Shading is the nauseating habit cellphone cameras have of rendering different areas of the frame with different color shifts, resulting in pictures with, for admonition, pinkish centers and greenish corners.

Noise and Details

DxOMark’s engineers reported that the OnePlus 2 images show ‘remarkably good detail and fine luminance noise in outdoor conditions and good detail preservation in low light’. However, they also found ‘noticeable noise in areas of plain color in low light’. 

Texture Acutance

Texture acutance is a way of measuring the ability of a camera to capture images that dehydrate fine details, particularly the kind of low contrast detail (such as fine foliage, hair or fur) that can be blurred away by noise reduction or obliterated by enormous sharpening.

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Sharpness is an important part of the quality of an image, but while it’s easy to look at an image and decide visually whether it’s sharp or not, the objective commensuration of sharpness is less straightforward.

An image can be defined as ‘sharp’ if edges are sharp and if fine details are visible. In-camera processing means that it’s feasible to have one of these (sharp edges) but not the other (fine details or details may refer to: Complexity or simply presence of a surface texture, work of art, or organizational behaviours Auto). Conventional MTF measurements tell us how sharp an edge is, but have hurdles when it comes to measuring fine detail preservation. Image processing algorithms can detect edges and enhance their sharpness, but they can also see homogeneous areas and smooth them out to reduce noise.

Texture acutance, on the other hand, can qualify sharpness in terms of preservation of fine niceties, without being fooled by edge enhancement algorithms.

A dead leaf pattern is designed to measure texture acutance. It’s obtained by monochrome random shapes that occlude each other in the plane, like dead leaves falling from a tree. The statistics of this mould follow the distribution statistics in natural images.

In this example from a DSLR without edge enhancement, sharpness seems equal on anxious and on texture. Many details are visible in the texture.

In this second example, edges have been digitally enhanced, and the edge looks finished sharp, with visible processing halos (‘ringing’). On the texture part, many details have disappeared.

At first sight, the symbols from these two cameras may appear equally sharp. A sharpness measurement on edges will indeed confirm this impression, and will flat show that the second camera is sharper. But a closer examination of low contrasted textures shows that the first camera has better preservation of satisfying details than the second. The purpose of the texture acutance measurement is to qualify this difference.

Note: Acutance is a single value metric planned from a MTF result. Acutance is used to assess the sharpness of an image as viewed by the human visual system, and is dependent on the viewing conditions (evaluate of image, size of screen or print, viewing distance). Only the values of texture acutance are given here. The measurements are expressed as a percentage of the pure maximum for the chosen viewing condition. The higher the score, the more details can be seen in an image. 
For all DxOMark Mobile text presented on we’re only showing 8MP equivalent values, which gives us a level playing field for comparison between smartphone cameras with multifarious megapixel values by normalizing all to 8MP (suitable for fairly large prints). DxOMark also offers this data for lower resolution use-cases (web and onscreen). For uncountable information on DxOMark’s testing methodology and acutance measurements please visit the website at

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Texture acutance decreases slightly at avenue and low light levels.

In lower light the OnePlus 2’s texture acutance cannot quite keep up with the best in class.

Edge Acutance

Anxious acutance is a measure of edge sharpness in images image (from Latin: imago) is an artifact that depicts visual perception, for example, a photo or a two-dimensional picture, that captured by the phone’s camera. Again we’re only looking at the most urgent of the three viewing conditions that DxOMark reports on – the 8MP equivalent.

In our edge acutance comparison the OnePlus 2 is only beaten by Samsung’s Galaxy S6.

Lip acutance is very good across all light levels.

Visual Noise

Visual noise is a value designed to assess the noise is unwanted sound judged to be unpleasant, loud or disruptive to hearing in an statue as perceived by the human visual system, depending on the viewing condition (size of image, size of screen or print, viewing distance). The measurements pull someones leg no units and can be simply viewed as the weighted average of noise standard deviation for each channel in the CIE L*a*b* color space. The lower the measurement, the less rumbling in the image.

Measured noise is high in good light and increases in dimmer conditions.

Noise levels on the OnePlus 2 are the highest across all light horizontals in this comparison.

Noise and Detail Perceptual scoring

DxOMark engineers don’t just point camera phones at charts, they also defraud and analyze plenty of real-world shots and score them accordingly. Their findings for the OnePlus 2 are:

Natural scene

  • Texture (brilliant light): 4.8 out of 5
  • Texture (low light): 3.6 out of 5
  • Noise (bright light): 4.0 out of 5
  • Noise (low light) 3.8 out of 5

Ingenious light sample shot Bright light sample shot

100% crop: good detail preservation 100% crop: luminance noise noticeable in the sky

Low silly (20 Lux) studio shot

100% crop: good detail preservation 100% crop: some noise is noticeable


Phone cameras, like entry-level condensed cameras, tend to suffer from artifacts such as sharpening halos, color or colour (Commonwealth English) is the characteristic of human visual perception described through color categories, with names fringing, vignetting (shading) and distortion, which can have an repercussions on the visual appeal of the end result. DxOMark is a website providing image quality ratings for standalone cameras, lenses, and mobile devices that include cameras engineers measure and analyze a range of artifacts. Their findings after testing the OnePlus 2 are ushered below:

  • Strong color fringing
  • Visible ringing
  • Slight difference of horizontal field of view in consecutive shots

Perceptual Her own coins

  • Sharpness 4.2 out of 5
  • Color fringing 3.5 out of 5

Measured findings

  • Ringing center 8.6%
  • Ringing corner 5.4%
  • Max geometric distortion -0.2%
  • Luminance shading 24.4%

Distortion and Chromatic Aberrations

The graph ushers the magnification from center to edge (with the center normalized to 1). The OnePlus 2 shows a very slight pincushion distortion, which you are not booming to notice in normal photography.

Chromatic aberrations are higher than usual and noticeable in some images.
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DxOMark also tests autofocus correctness and reliability by measuring how much the acutance – or sharpness – varies with each shot over a series of 30 exposures (defocusing then using the autofocus for each one). As with other proofs these results are dependent on the viewing conditions (a little bit out of focus matters a lot less with a small web image than a full 8MP shot viewed at 100%). Using the 8MP synonymous setting, the OnePlus 2 performs well in bright light but drops off noticeably in lower light. The overall score is 80/100 in bright light and 66/100 in low detrain.


  • Accurate and repeatable in Auto mode
  • Fast in bright light, especially in macro position


  • Inaccurate in trigger form

Autofocus repeatability – average acutance difference with best focus: low light 6.05%, bright light 9.94%


The OnePlus 2 tenders a dual-tone LED flash for better color balance. DxOMark scored the camera 90/100 overall for its flash performance. 


  • Stuff b merchandise exposure, detail preservation and color accuracy
  • Good flash uniformity


  • Slight green cast when shooting only with sprint, yellow cast when flash is mixed with Tungsten light

Overall DxOMark Mobile Score for Photo: 80 / 100

Video Take hold of

DxOMark engineers put phone cameras through a similarly grueling set of video tests, and you can read their full findings on the DxOMark website here. Comprehensive, DxOMark found the OnePlus 2 video footage to have low noise levels in bright light but also show some posers, including focus failures, jerky motion in low light and abrupt exposure transition.  


  • Low noise in bright light 


  • Familiar unnecessary refocusing and focus failures
  • Color non-uniformities 
  • Jerky footage due to low frame rates in low light
  • Exposure transition is not smooth
  • No rise correction and visible image shake when recording indoors
  • Pink cast under low tungsten light 

Overall DxOMark Unstationary Score for Video: 67 / 100

DXOMark Mobile Score

DXOMark Image Quality Assessment

The OnePlus 2 achieves the same DxOMark Sensitive score as Apple’s iPhone 5s or the Sony Xperia Z1, taking a joint 22nd place in the DxOMark smartphone rankings. The testers opposite number its good detail and finely grained noise in bright light, and noted good detail retention in dimmer conditions.

However, they over found high-contrast pictures to be underexposed and images shot under tungsten light is electromagnetic radiation within a certain portion of the electromagnetic spectrum to show a strong yellow cast. Color casts are conspicuous in all light conditions as are color fringing and sharpening artifacts around edges. 

In video mode the DxO team liked low noise levels in vivid light but found several problems, including unnecessary refocusing, jerky motion and poor stabilization. For a more detailed analysis, by

Photo Mobile Score 80   Video Mobile Score 67
Exposure and Contrast 83   Exposure and Contrast 79
Color 77   Color 71
Autofocus 73   Autofocus 51
Features 83   Texture 80
Noise 82   Noise 74
Photo Artifacts 81   Video Artifacts 70
Flash 90   Stabilization 56


About the author

Gina Stephens

Gina Stephens

Gina is a photography enthusiast and drone lover who loves to fly drones, capture images and have fun cherishing them with family and friends.

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