Quantifying the performance of camera-equipped mobile devices is covered in this standard, with an emphasis on metrics and procedures appropriate to the types of sensors, lenses, and signal processing routines present on such devices. It is not intended as a general image quality standard for photographs produced by high-end dedicated cameras, e.g., DSLRs. Metrics include spatial frequency response, color uniformity, chroma level, lateral chromatic displacement, local geometric distortion, texture blur, and visual noise.
Working Group Details
Standard for Camera Phone Image Quality (CPIQ)
This standard addresses the fundamental attributes that contribute to video and still image quality, as well as identifying existing metrics and other useful information relating to these attributes. It defines a standardized suite of objective and subjective test methods for measuring camera phone image quality attributes, and it specifies tools and test methods to facilitate standards-based communication and comparison among carriers, handset manufacturers, and component vendors regarding camera phone image quality.
IEEE Approved Standard for Camera Phone Image Quality (CPIQ) - Corrigendum 1
This corrigendum makes technical corrections to errors identified in the base standard during the 2 publication process.(This amendment was incorporated into IEEE Std 1858-2016 and was not published separately)
IEEE Industry Connections (IEEE-IC) Landmarks and Measurement Standards Comparison in 3D Body-model Processing
This white paper reviews the current standards landscape for three-dimensional body scanning, body landmarking, and measuring. International standards are compared and recommendations are made for a minimal set of landmarks and measurements (L&M) needed for several industrial use cases of 3D Body Processing such as fit and size estimation, retail, clothing manufacturing, CAD tool developers, and body model storage and service.