4 research outputs found
Entropy Computation of Document Images in Run-Length Compressed Domain
Compression of documents, images, audios and videos have been traditionally
practiced to increase the efficiency of data storage and transfer. However, in
order to process or carry out any analytical computations, decompression has
become an unavoidable pre-requisite. In this research work, we have attempted
to compute the entropy, which is an important document analytic directly from
the compressed documents. We use Conventional Entropy Quantifier (CEQ) and
Spatial Entropy Quantifiers (SEQ) for entropy computations [1]. The entropies
obtained are useful in applications like establishing equivalence, word
spotting and document retrieval. Experiments have been performed with all the
data sets of [1], at character, word and line levels taking compressed
documents in run-length compressed domain. The algorithms developed are
computational and space efficient, and results obtained match 100% with the
results reported in [1].Comment: Published in IEEE Proceedings 2014 Fifth International Conference on
Signals and Image Processin