Most　existing　super-resolution　(SR)　imaging　systems,　inspired　by　the　bionic　compound　eye,　utilize　image　registration　and　reconstruction　algorithms　to　overcome　the　angular　resolution　limitations　of　individual　imaging　systems.　This　article　introduces　a　multi-aperture　multi-focal-length　imaging　system　and　a　multi-focal-length　image　super-resolution　algorithm,　mimicking　the　foveal　imaging　of　the　human　eye.　Experimental　results　demonstrate　that　with　the　proposed　imaging　system　and　an　SR　imaging　algorithm　inspired　by　the　human　visual　system,　the　proposed　method　can　enhance　the　spatial　resolution　of　the　foveal　region　by　up　to　4　×　compared　to　the　original　acquired　image.　These　findings　validate　the　effectiveness　of　the　proposed　imaging　system　and　computational　imaging　algorithm　in　enhancing　image　texture　and　spatial　resolution.　©　2024　Optica　Publishing　Group.