CVJun 22, 2015

Adaptive Digital Scan Variable Pixels

arXiv:1506.06681v12 citations
Originality Synthesis-oriented
AI Analysis

This addresses image quality issues in sensing and display for applications like digital imaging, though it appears incremental as it builds on variable pixel concepts without a major paradigm shift.

The paper tackles the problem of inaccuracies in digital images due to square pixel shapes, which poorly represent diagonal edges and variable orientations, by proposing an adaptive filtering technique using variable shaped pixels, resulting in an improvement in image PSNR.

The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images. The major disadvantage of square pixel shapes is the inability to accurately capture and display the details in the objects having variable orientations to edges, shapes and regions. This effect can be observed by the inaccurate representation of diagonal edges in low resolution square pixel images. This paper explores a less investigated idea of using variable shaped pixels for improving visual quality of image scans without increasing the square pixel resolution. The proposed adaptive filtering technique reports an improvement in image PSNR.

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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