RIQA Image Quality Analysis Software is a critical tool for evaluating camera image quality, offering comprehensive analysis methods tailored to the specific standards of industries such as automotive, security, and healthcare. The software is modular, divided into seven key modules: RIQA-Camera, RIQA-CMS, RIQA-ADAS, RIQA-Geometry, RIQA-AVM, RIQA-HUD, and RIQA-3D.
The RIQA-ADAS module focuses on image quality analysis for automotive cameras used in autonomous driving. It covers essential assessments such as Contrast Detection Probability (CDP), Flicker, Flare, Noise, Dynamic Range (DR), and Motion Blur. This module is specifically designed to meet the demanding testing requirements of autonomous driving systems.
Key Features:
Compliance with Industry Standards: Supports SAE P2020, ISO 18844, and ISO 9358.
High Dynamic Range (HDR) Data Analysis: Facilitates the processing and analysis of HDR data for detailed evaluations.
RAW Data Decoding: Includes decoding of RAW data, with built-in algorithms for demosaicing, white balance correction, and dark level decompression.
Camera Control and Data Format Flexibility: Compatible with multiple camera controls and data formats, providing significant flexibility for different testing environments.
Bilingual Interface: Offers both English and Chinese language options, enabling fast and efficient analysis with one-click report generation.
Supported Testing Parameters:
CDP (Contrast Detection Probability): Assesses the camera module’s detection capabilities in different lighting and contrast conditions, evaluating its ability to reproduce images accurately.
Flicker Suppression: Measures key flicker parameters such as FMI, FDI, and MMP to evaluate the module’s flicker suppression performance.
Flare Analysis: Tests the impact of glare and provides output for F(%), average flare attenuation, and worst-case flare attenuation.
Noise and Dynamic Range Analysis: Assesses signal strength and interference, outputting results such as TCG, CNR, mean, temporal noise, fixed noise, total noise, and SNR.
Motion Blur: Evaluates the image sharpness under different speed and lighting conditions, providing metrics such as edge width and MTF variations.
