Color Based HDR Image Retrieval Using HSV Histogram and Color Moments

In this work, we address the problem of efficiently and accurately retrieving High Dynamic Range (HDR) images and displaying the retrieval results in Standard Dynamic Range (SDR) devices. The proposed approach considers a set of global descriptors for modeling an HDR image using vector of features that combines two color attributes: the color histogram based on the Hue-Saturation-Value (HSV) space and the color moments. The dissimilarity between images is measured using Manhattan distance. To evaluate the effectiveness of our retrieval system and conduct our tests, we created a collection of various HDR images. Experimental results demonstrate that the proposed method yields satisfactory results. It can accurately retrieve the similar HDR images. Moreover, we applied our retrieval method on Low Dynamic Range (LDR) version of the same dataset. The comparisons confirm that the features extracted from HDR images are more effective than those extracted from LDR ones.