Yalman, Yildiray2025-10-242025-10-2420120033-20972449-9544https://hdl.handle.net/20.500.12899/4134Image quality evaluation plays a very important role in any image processing application. A number of efforts have been made in the last decade to develop generalized image quality metrics. However, a common and easily applicable image quality measure is yet to be developed. In this paper, a new Histogram-based Image Quality Index (HQI) is proposed for use in place of traditional error summation methods. It can be calculated easily and performs significantly better than the widely used image distortion quality metric Mean Squared Error (MSE). A software release of the proposed image quality measure HQI and examples of its usage on different test images have been made available online: http://www.turgutozal.edu.tr/yyalman/contents/yyalman/files/HQI.zip.eninfo:eu-repo/semantics/closedAccessDigital Image; Histogram; Quality MeasureArticle887A126129WOS:000306010100027N/A