The　optical　configuration　of　the　in-line　digital　holography　is　compact　and　simple,　but　the　presence　of　twin　images　limits　its　application.　In　this　work,　we　introduce　an　iterative　projection　optimization　algorithm　via　combined　constraints　framework　(CCF).　Specifically,　Positive　absorption　constraints,　total　variation　minimization,　and　denoising　regularization　are　introduced　in　the　optimization　framework　to　ensure　the　authenticity　of　the　reconstructed　target　wave　complex　amplitude　field　and　the　signal-to-noise　ratio　of　the　reconstructed　image.　The　feasibility　of　our　method　has　been　verified　through　the　optical　experiments.　Compared　with　existing　methods,　this　method　has　higher　imaging　fidelity.　©　2024　SPIE.　All　rights　reserved.