Research Statement

My current research interests are interactive information retrieval, applied computer vision in human computer interaction, and health informatics. I have previously worked on fractal image compression.


Google Scholar  •  DBLP  •  ResearchGate  •  LinkedIn


FWLBP: A Scale Invariant Descriptor for Texture Classification

Under Review.

Fractal Image Compression using Hierarchical Classification of Sub-images

Nilavra Bhattacharya, Swalpa Kumar Roy, Utpal Nandi and Soumitro Banerjee

In Proceedings of the 10th International Conference on Computer Vision Theory and Applications, Berlin (VISAPP-2015) • Pages: 46-53

PDF • Publisher


In fractal image compression (FIC) an image is divided into sub-images (domains and ranges), and a range is compared with all possible domains for similarity matching. However this process is extremely time-consuming. In this paper, a novel sub-image classification scheme is proposed to speed up the compression process. The proposed scheme partitions the domain pool hierarchically, and a range is compared to only those domains which belong to the same hierarchical group as the range. Experiments on standard images show that the proposed scheme exponentially reduces the compression time when compared to baseline fractal image compression (BFIC), and is comparable to other sub-image classification schemes proposed till date. The proposed scheme can compress Lenna (512x512x8) in 1.371 seconds, with 30.6 dB PSNR decoding quality (140x faster than BFIC), without compromising compression ratio and decoded image quality.