부산대학교 도서관

Distorted images due to microscopy lens distortion can cause errors when acquiring images of parasites in water samples during inspection. Given the critical nature of inspecting treated water, it is important to monitor the quality of microscopic parasite images to prevent errors during inspection. To this end, this study involved both subjective and objective evaluations of parasite images, specifically Cryptosporidium and Giardia (oo)cysts. The evaluation utilized a parasite image database comprising 380 images where 20 are reference images and 360 are distorted images. For the subjective assessment, 20 subjects assessed the distorted images, and Mean Opinion Scores (MOS) were obtained. To perform an unbiased evaluation, six Full Reference- IQA (FR-IQA) metrics and three Blind-IQA metrics were employed to appraise the distorted images. The Mean Opinion Scores (MOS) were used as a reference point to ascertain the most appropriate objective IQA method for evaluating the parasite images. The study analyzed the relationship between the MOS ratings and the objective IQA techniques using PLCC and RMSE as performance metrics. The results of the investigation revealed that the MSSIM method was the most effective IQA approach for evaluating parasite images affected by Gaussian White Noise (GWN) and Gaussian Blur (GB).