In　this　paper,　an　improved　regularization　approach　for　blind　restoration　of　multichannel　imagery　is　presented,　based　on　a　least　absolute　derivation　(LAD)　estimation.　An　efficient　iterative　algorithm　is　proposed　for　blind　multiple-input/single-output　image　restoration.　Compared　with　conventional　multichannel　blind　image　restoration　algorithms,　the　proposed　algorithm　is　suitable　for　blind　image　restoration　under　non-Guassian　noise　environments.　Experimental　results　show　that　the　proposed　algorithm　can　obtain　a　better　image　estimate　than　related　blind　image　restoration　algorithms.　©　2011　IEEE.