DxO Analyzer Key Features

DxOMark Mobile objective measurements included (v6.2 and higher)

DxOMark, the industry standard for digital camera and smartphone image quality, is based on a large set of objective measurements of key image quality attributes such as sharpness, color, exposure, contrast, noise, stabilization, distortion, and other sensor or lens artifacts. Starting with v6.2, DxO Analyzer provides all of this DxOMark Mobile objective data so that you can replicate the measurements in your own testing lab.

In particular, DxO Analyzer now includes the Visual Noise measurement, which provides an image-noise metric which directly correlates with visual perception. We developed this measurement, used for DxOMark Mobile scoring, in collaboration with several imaging industry leaders working together in such international standardization working groups as IEEE/CPIQ and ISO TC42-WG18.

Available DxOMark Mobile-related measurements:

Image Quality Attributes

Objective measurements in version 6.2

Color Shading

Color shading standard deviation in % Red and Blue versus Green maximum and minimum over the field

Luminance Shading

Maximum and minimum over the field of the luminance channel

Flash Quality

Intensity and uniformity at a distance of 1.2m in the dark


Maximum distortion

Lateral Chromatic Aberration

Maximum LCA in pixels converted in arcminutes for 3 viewing conditions (Web, HD, 8Mpx)


Texture and Edge Acutance (RGB and Luminance channels)

Video Stabilization

Horizontal and vertical translation (pixel)
Roll (standard deviation)
Shear (standard deviation)
Stretch (standard deviation)
The three standard motion files are provided, simulating hand-held photo and video shooting in still and walking situations

Color Fidelity and White Balance

Mean ∆ab (as shot)
Mean White Balance (as shot)
Sensitivity Metamerism Index (SMI)

Visual Noise

High-pass filter taking CSF into account on a uniform grey patch

DxOMark Mobile scoring is based on all the above objective measurements as well as a set of subjective scores resulting from visual evaluation of natural and reference scene shots performed by DxO image scientists.

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Advanced image stabilization testing with new 6-axis Hexapod

Measuring camera image stabilization quality is critical for many imaging applications, including smartphones, digital cameras, drone imagery, ADAS systems, and video surveillance.

Packaged with the latest DxO Analyzer version, we introduce a new 6-axis Hexapod which simulates higher frequency shaking motion up to 25Hz, to broaden the possible image stabilization testing scenarios.

Both the current and the new shaking 6-axis Hexapods are CIPA certified, according to the DC-011-2015 (Certificate of Registration of Vibratory Apparatus) standard.

In addition, with the new version, a breadboard table and dedicated holders are provided to perform stabilization measurement under more reliable conditions.

Other new features available since the release of DxO Analyzer version 6

  • Accurate, streamlined MTF testing of wide FOV Fisheye lenses, beyond 190°!

  • Programmable automated lighting scenarios for custom testing needs

  • Industry’s first HDR testing system supports up to 120dB

  • Automated lighting system speeds testing while reducing errors

  • Video analysis now includes exposure, white balance, sharpness and texture with changing lighting

  • New MTF-based calibration allows testing at higher resolutions

Accurate, streamlined MTF testing of wide FOV Fisheye lenses, beyond 190°!

With the increasing popularity of wide field of view cameras, it is more important than ever to accurately characterize their MTF. Until now, this task has been very difficult, as it isn’t possible to create a single test chart that will work with a single capture for lenses with a field of view over 190°. DxO Analyzer 6.1 addresses this issue with a unique combination of its standard MTF chart with a panoramic tripod head and proprietary software that automatically merges the multiple test images required into a single composite for efficient evaluation.

The camera being tested is moved in a prescribed pattern, so that each portion of the lens is in turn in front of the test chart. The MTF data is taken from a specific area of the chart in each shot, and then merged by DxO Analyzer into a single image that allows measurement of the MTF everywhere in the camera’s ultra-wide field of view. Neutral baffles are also provided to allow accurate exposures throughout the process even when Auto-exposure can’t be turned off.

Programmable automated lighting scenarios for custom testing needs

Testing real world scenarios that include multiple or changing light levels has always been a very labor-intensive effort. DxO Lighting Control now lets you automate the process by creating lighting sequences for your DMX-compatible Automated Lighting System. You have complete flexibility to either drive your DMX with specific commands via its control stream, or to use it closed-loop by specifying an illuminant type, color temperature, and desired lux level. Sequences are stored in an editable XML format for easy creation and modification. DxO Lighting Control also logs the actual light levels as measured by the luxmeters. Lux logs can easily be viewed in Microsoft Excel or OpenOffice Calc, and can be automatically deleted after a specified number of days.

Industry’s first HDR testing system supports up to 120dB

An increasing number of cameras feature an integrated high-dynamic-range (HDR) shooting mode. Because these modes combine multiple frames at varying exposures, HDR-equipped cameras can capture much greater extremes of light in a scene than was previously possible. Traditional paper targets are completely insufficient to measure the effectiveness of HDR imaging. DxO Analyzer v6 introduces a new hardware tool and software support that allows it to accurately test images of scenes with dynamic ranges up to 120dB – more than enough to accurately measure and analyze camera HDR modes.

Automated lighting system speeds testing while reducing errors

Precise control of lighting is essential for accurately measuring image quality and device calibration. But manually measuring the incident light falling on test targets and then making corresponding adjustments to the lab lights is a time-consuming and error-prone process. Because lights are never perfect and their output is not completely stable, test setups require checking and tweaking repeatedly during an analysis session. DxO Analyzer v6 addresses this problem by providing a closed-loop automatic lighting adjustment system with in-scene light meters that accurately measure the light falling on test charts and then automatically adjusts the light levels until the illuminance values are within required tolerances.

Video analysis now includes exposure, white balance, sharpness and texture with changing lighting

Video capture has become a more central and integrated part of camera design, and testing solutions need to keep up. DxO Analyzer v6 greatly expands video quality testing by measuring a multi-pattern texture chart under changing light color temperatures and levels. This allows accurate testing of many additional aspects of video, including exposure, white balance, sharpness, and texture all in one go. These qualities are valuable to anyone buying a camera, but they are especially important in many commercial applications such as automotive ADAS (Advanced Driver Assistance System), surveillance, videography, and medical and aerospace imaging.

New MTF-based calibration allows testing at higher resolutions

Traditionally, MTF testing using paper targets has assumed that both the printing on the target and the paper used for the target are perfect and present an ideal black- & white edge with infinite resolution. Unfortunately, ink or photographic edges are never perfect and paper always has some of its own texture, with the result that, up to now, MTF for cameras and lenses have not been accurately measured. In DxO Analyzer v6, we have analyzed and measured the MTF of our test targets. Analyzer uses this correction factor to correct the results of its MTF tests, so that the results more accurately reflect the real MTF of the device being tested. This additional accuracy is particularly important as sensor resolution continues to increase.

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