MMDSAPCOFeb 2, 2017

DCT-like Transform for Image Compression Requires 14 Additions Only

arXiv:1702.00817v192 citations
Originality Incremental advance
AI Analysis

This work addresses computational efficiency for image compression applications, but it is incremental as it builds on existing DCT approximations.

The authors tackled the problem of high computational cost in image compression by introducing an 8-point orthogonal approximate DCT that requires only 14 additions, with no multiplications or bit-shifts, and it outperforms signed DCT and state-of-the-art methods in several scenarios.

A low-complexity 8-point orthogonal approximate DCT is introduced. The proposed transform requires no multiplications or bit-shift operations. The derived fast algorithm requires only 14 additions, less than any existing DCT approximation. Moreover, in several image compression scenarios, the proposed transform could outperform the well-known signed DCT, as well as state-of-the-art algorithms.

Code Implementations1 repo
Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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