Effective Decompression of JPEG Document Images

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Effective decompression of JPEG document images

Effective Decompression of JPEG Document Images

Abstract of Effective Decompression of JPEG Document Images

This Effective Decompression of JPEG Document Images paper concentrates on developing an effective approach for decompressing JPEG document images. Our main goal is targeted to time-critical applications, especially to those situated on mobile network infrastructures. To this aim, the proposed approach is designed to work either in the transform domain or image spatial plane. Specifically, the image blocks are first classified into smooth blocks (e.g., background and uniform regions) and non-smooth blocks (e.g., text, graphics, and line-drawings). For decoding non-smooth blocks, a novel text model is presented that accounts for the specifics of document content.
In addition, an efficient optimization algorithm is introduced to reconstruct the non-smooth blocks.

Conclusions

In this  paper, we have presented a novel approach for decompressing the JPEG document images. First, the DCT blocks are classified into either smooth blocks or non-smooth blocks.Specific decoding algorithms are then developed for each type of block. For smooth blocks, we first introduce a fast technique to compute the total block boundary variation (TBBV) in the DCT domain.

This efficient TBBV measure is used as an objective function to recover the smooth blocks. The proposed approach has been validated through extensive experiments in comparison with other methods.

Experimental results showed that the proposed approach gives a substantial improvement of visual quality while incurring a relative low computational cost.Although the proposed approach gives quite interesting results, there is still room for further improvements.

In this work, it is assumed that the picture blocks are not handled.