Gradient Domain Guided Image Filtering

• Published in: IEEE transactions on image processing Vol. 24; no. 11; pp. 4528 - 4539
• Main Authors: Kou, Fei, Chen, Weihai, Wen, Changyun, Li, Zhengguo
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.11.2015
• Subjects: Computational modeling; Cost function; detail enhancement; Dynamic range; edgepreserving; gradient domain; Guided image filter; high dynamic range; Image edge detection; saliency detection; Signal processing algorithms; Smoothing methods; detail enhancement; gradient domain; edge-preserving; saliency detection; Guided image filter; high dynamic range

Guided image filter (GIF) is a well-known local filter for its edge-preserving property and low computational complexity. Unfortunately, the GIF may suffer from halo artifacts, because the local linear model used in the GIF cannot represent the image well near some edges. In this paper, a gradient d...