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Image Engineering product catalog 2025/26
(Japanese version)
Learn moreImage Engineering product catalog 2025/26
(English version)
Learn moreImage Engineering product catalog 2025/26
Chinese version
Learn moreiQ-Analyzer-X software V1.11.1 beta (Windows 64bit installer)
The Light-Version provides you with a limited functioning analysis software.
Learn moreiQ-Analyzer-X software V1.11.0 (Windows 64bit installer)
The Light-Version provides you with a limited functioning analysis software.
Learn morePhoneCam 2025 - Whitepaper
This document contains the technical specifications and test methods of the VCX Forum PhoneCam 2025.
Learn moreIEEE-P2020: Noise Measurement
Noise characterization for automotive image sensors following IEEE-P2020.
Learn moreIEEE-P2020: Flare Testing
How Image Engineering measures lens flare for automotive cameras under the IEEE-P2020 standard.
Learn moreIEEE-P2020: Dynamic Range
Dynamic range testing methodology for ADAS and automotive cameras under IEEE-P2020.
Learn moreGEOCAL Benchmark
Comparing Geometric Calibration Methods
Learn moreAcceptance levels for image quality factors
Determining the lowest light level at which a camera still delivers acceptable image quality requires well‑defined tolerance thresholds for all relevant factors. This paper presents a psychophysical study comparing expert and non‑expert evaluations across photographic and security‑camera use cases to establish application‑specific acceptance limits. The results provide a foundation for understanding how image quality degrades as light decreases and where compensation mechanisms reach their limits.
Learn moreISO TC42 process for the selection of representative skin tones
Members of several working groups within the ISO Technical Committee 42 (photography) have begun addressing the important topic of providing guidance for which skin tones to use for image quality testing in various photographic applications.
Learn moreHDR Printing, how to produce and display extreme contrast levels
Determining the lowest light level at which a camera still delivers acceptable image quality requires well‑defined tolerance thresholds for all relevant factors. This paper presents a psychophysical study comparing expert and non‑expert evaluations across photographic and security‑camera use cases to establish application‑specific acceptance limits. The results provide a foundation for understanding how image quality degrades as light decreases and where compensation mechanisms reach their limits.
Learn moreInvestigation on Image Quality Degradation due to Movement in Automotive Cameras
Bachelor thesis by Julian Kremming & Mike Kupezki analyzing the influence of vehicle movement on effective resolution in automotive camera systems.
Learn moreMeasurement of Noise Equivalent Quanta (NEQ) Using the Dead Leaves Technique
Noise Equivalent Quanta (NEQ) is an objective Fourier metric which evaluates the performance of an imaging system by detailing the effective equivalent quanta of an exposure versus spatial frequency.
Learn morePrinter and Print Life Tests
Comprehensive guide to printer quality testing and print longevity assessment. Learn industry-standard methodologies for evaluating printer performance and output quality.
Learn moreInfluence of the Light Source on the Image Sensor Characterization according to EMVA 1288
Machine‑vision systems rely on accurate sensor characterization, yet the EMVA 1288 standard’s use of monochrome illumination raises important questions about real‑world comparability. This study examines how different light sources influence key measurement results and shows that only quantum efficiency and related parameters are affected. Using broadband illumination can therefore offer more practical insight into application‑specific performance.
Learn moreVCX Version 2023
The latest transparent and objective mobile phone test scheme
Learn moreVCX Version 2020 - Further development of a transparent and objective evaluation scheme for mobile phone cameras
VCX or Valued Camera eXperience is a nonprofit organization dedicated to the objective and transparent evaluation of mobile phone cameras.
Learn moreCorner cases and limitations using a DOE based geometric camera calibration
Diffractive‑optics–based geometric camera calibration has opened the door to highly compact, easy‑to‑use setups capable of capturing precise dot‑grid patterns from virtual infinity. This paper explores the method’s untapped potential, from extreme wide‑FOV calibration to large entrance pupils and automotive distances, while addressing key limitations such as infinity‑only measurement and chromatic constraints. Several practical solutions are presented to extend the technique beyond distortion measurement toward richer system characterization.
Learn moreIEEE P2020 Standard Explained
Deep dive into the IEEE P2020 automotive imaging standard, explaining key metrics, test procedures, and implementation guidelines.
Learn moreDifferences of digital camera resolution metrology to describe noise reduction artifacts
Noise reduction in digital cameras significantly affects image quality by reducing low-contrast details, often perceived as texture blur. This study compares different spatial frequency response (SFR) measurement methods, showing that adaptive filtering leads to varying results depending on the test target. The differences between methods are analyzed to better characterize how noise reduction impacts specific spatial frequency bands.
Learn moreCamera Tests
Advanced camera testing techniques for automotive, mobile, and industrial applications. Explore comprehensive testing methodologies for modern camera systems.
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