Inter-channel　correlation　is　one　of　the　redundancy　which　need　to　be　eliminated　in　video　coding.　In　the　latest　video　coding　standard　H.266/VVC,　the　DM　(Direct　Mode)　and　CCLM　(Cross-component　Linear　Model)　modes　have　been　introduced　to　reduce　the　similarity　between　luminance　and　chroma.　However,　inter-channel　correlation　is　still　observed.　In　this　paper,　a　new　inter-channel　prediction　algorithm　is　proposed,　which　utilizes　coloring　principle　to　predict　chroma　pixels.　From　the　coloring　perspective,　for　most　natural　content　video　frames,　the　three　components　Y,　U　and　V　always　demonstrate　similar　coloring　pattern.　Therefore,　the　U　and　V　components　can　be　predicted　using　the　coloring　pattern　of　the　Y　component.　In　the　proposed　algorithm,　correlation　coefficients　are　obtained　in　a　lightweight　way　to　describe　the　coloring　relationship　between　current　pixel　and　reference　pixel　in　Y　component,　and　used　to　predict　chroma　pixels.　The　optimal　position　for　the　reference　samples　is　also　designed.　Base　on　the　selected　position　of　the　reference　samples,　two　new　chroma　prediction　modes　are　defined.　Experiment　results　show　that,　compared　with　VTM　12.1,　the　proposed　algorithm　has　an　average　of-0.92%　and-0.96%　BD-rate　improvement　for　U　and　V　components,　for　All　Intra　(AI)　configurations.　At　the　same　time,　the　increased　encoding　time　and　decoding　time　can　be　ignored.　©　2022　Institute　of　Electronics,　Information　and　Communication,　Engineers,　IEICE.　All　rights　reserved.