Performance Evaluation of Improved Content Adaptive Image Detail Enhancement by Using Guided Image Filter

Existing details enhancement algorithms offer edge-preserving decomposition algorithms. A resource image is usually very first decomposed into a base layer that may be established via homogeneous regions together with sharp sides as well as a details level which consists of fine details or textures by way of the edge-preserving decomposition criteria, then a detail-enhanced image is definitely produced by amplifying this details level. However a brand new norm dependent detail improvement algorithm which often generates the particular detail-enhanced image directly possesses preserved the particular sharp edges greater than an recent norm dependent algorithms. Nevertheless it has definitely not considered the consequence of the particular noise, so to be able to remove this matter a brand new algorithm is actually proposed that may integrate the modern norm dependent detail enhancement algorithm using the well identified guided image filter. The well guided image filtering is chosen because can certainly remove noises efficiently as well as preserve edges in far more optimistic approach.