Translated Title

Research on Compressed Sensing in Image Denoising and Reconstruction

Translated Abstract

Compressed　Sensing　(CS)　theory,based　on　the　sparseness　of　signals,can　be　directly　used　to　acquire　signals　at　far　low　the　traditional　Nyquist　frequency.It　not　only　decreases　the　time　of　sampling　efficiently,but　also　reduces　the　cost　of　the　storage　and　transmission.The　principles　of　CS　are　introduced　as　follow:1)　the　sparseness　of　the　signal,2)　the　design　of　measurement　matrix,3)　the　reconstruction　of　the　signal.The　application　and　development　of　CS　in　image　denoising　and　reconstruction　are　surveyed.The　CS　plays　an　important　role　in　the　image　denoising　and　reconstruction.The　problems　existing　in　the　image　processing　are　pointed　out　and　its　application　prospect　is　looked　forward　to.

Translated Keyword

compressed sensing
image denoising
image processing
image reconstruction

Classification

TP391.41

Type

Project Name

Project No.

Access Number

WF:perioarticaljxzzyzdh201701046

Language

Chinese

Corresponding s email

Author Info