Gold　immunochromatographic　strip　(GICS)　assay　provides　a　quick,　convenient,　single-copy　and　on-site　approach　to　determine　the　presence　or　absence　of　the　target　analyte　when　applied　to　an　extensive　variety　of　point-of-care　tests.　It　is　always　desirable　to　quantitatively　detect　the　concentration　of　trace　substance　in　the　specimen　so　as　to　uncover　more　useful　information　compared　with　the　traditional　qualitative　(or　semi-quantitative)　strip　assay.　For　this　purpose,　this　paper　is　concerned　with　the　GICS　image　denoising　and　deblurring　problems　caused　by　the　complicated　environment　of　the　intestine/intrinsic　restrictions　of　the　strip　characteristics　and　the　equipment　in　terms　of　image　acquisition　and　transmission.　The　gradient　projection　approach　is　used,　together　with　the　total　variation　minimization　approach,　to　denoise　and　deblur　the　GICS　images.　Experimental　results　and　quantitative　evaluation　are　presented,　by　means　of　the　peak　signal-to-noise　ratio,　to　demonstrate　the　performance　of　the　combined　algorithm.　The　experimental　results　show　that　the　gradient　projection　method　provides　robust　performance　for　denoising　and　deblurring　the　GICS　images,　and　therefore　serves　as　an　effective　image　processing　methodology　capable　of　providing　more　accurate　information　for　the　interpretation　of　the　GICS　images.　©　2017　Elsevier　B.V.