LAUSR

Bit-depth enhancement is of significant research interest, and its main challenge lies in eliminating false contours in low-bit images. Existing algorithms either fail to effectively suppress false contours or rely on a vast number of samples and high-performance graphics cards, resulting in poor practicality. To solve these problems, we propose a bilateral false contour elimination filter-based bit-depth enhancement algorithm: BEF-BDE, which contains three innovative modules: Bilateral false contour Elimination Filter (BEF), iterative false contour elimination, and content-adaptive iteration number selection. Experiments on three datasets show that our method can achieve superior subjective and objective results.