Spiral　Architecture　(SA)　is　a　novel　image　structure　which　has　hexagons　but　not　squares　as　the　basic　elements.　Apart　from　many　other　advantages　in　image　processing,　SA　has　shown　two　unbeatable　characters　that　have　potential　to　improve　image　compression　performance,　namely,　Locality　of　Pixel　Density　and　Uniform　Image　Partitioning.　Fractal　image　compression　is　a　relatively　recent　image　compression　method　which　exploits　similarities　in　different　parts　of　the　image.　The　basic　idea　is　to　represent　an　image　as　fixed　points　of　Iterated　Function　Systems　(IFS).　Therefore,　an　input　image　can　be　represented　by　a　series　of　IFS　codes　rather　than　pixels.　In　this　way,　an　amazing　compression　ratio　10000:1　can　be　achieved.　The　application　of　fractal　image　compression　presented　in　this　paper　is　based　on　Spiral　Architecture.　Since　there　is　no　mature　capture　and　display　device　for　hexagon-based　images,　the　experiments　are　implemented　on　a　newly　proposed　mimic　scheme,　called　Virtual　Spiral　Architecture　(VSA).　The　experimental　results　in　the　paper　have　shown　that　introducing　Spiral　Architecture　into　fractal　image　compression　will　improve　the　compression　performance　in　image　quality　with　little　trade-off　in　compression　ratio.　A　lot　of　research　work　exists　in　this　area　to　further　improve　the　results.　Copyright　UNION　Agency　-　Science　Press.