Open AccessAN IHS-BASED ENHANCEMENT METHOD WITH IMPROVED SCALE/SHIFT PARAMETER OF LINEAR MODEL
Author(s) -
Bingxian Zhang
Publication year - 2016
Publication title -
isprs annals of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.356
H-Index - 38
eISSN - 2194-9042
pISSN - 2196-6346
DOI - 10.5194/isprsannals-iii-3-395-2016
Subject(s) - brightness , hue , luminance , artificial intelligence , computer vision , computer science , image enhancement , filter (signal processing) , gamma correction , transformation (genetics) , texture (cosmology) , scale (ratio) , image (mathematics) , pattern recognition (psychology) , mathematics , optics , geography , physics , biochemistry , chemistry , cartography , gene
An IHS-based enhancement method for colour images (IEM) is presented in this paper. An improved gamma transformation was applied to enhance the brightness and texture details of colour images taken in dark conditions. Moreover, a spatial filter was used to prevent the loss of details of highlighted areas. The method was tested with the images from the database of Simon Fraser University (SFU) and from the Chinese ZIYUAN-02C satellite. The experimental results show our proposed method could effectively enhance the luminance and texture of the images, especially for those taken in dim conditions, and maintain the hue and saturation of original images.