Adaptive Digital Scan Variable Pixels
Sherin Sugathan, Reshma Scaria, Alex Pappachen James

TL;DR
This paper proposes adaptive variable-shaped pixels to improve digital image quality, especially for diagonal edges, by reducing inaccuracies caused by traditional square pixels without increasing resolution.
Contribution
It introduces a novel adaptive filtering technique that employs variable-shaped pixels to enhance image representation and visual quality in digital scans.
Findings
Improved PSNR in scanned images using variable-shaped pixels
Enhanced accuracy in representing diagonal edges
Potential for better image quality without higher resolution
Abstract
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.
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Taxonomy
TopicsImage and Signal Denoising Methods · Advanced Image Processing Techniques · Advanced Image Fusion Techniques
