Adaptive Digital Scan Variable Pixels

06/22/2015
by   Sherin Sugathan, et al.
0

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.

READ FULL TEXT

page 1

page 3

page 4

research
10/29/2019

Resolution-independent meshes of super pixels

The over-segmentation into superpixels is an important preprocessing ste...
research
02/02/2017

Pixel Recursive Super Resolution

We present a pixel recursive super resolution model that synthesizes rea...
research
05/12/2020

Invertible Image Rescaling

High-resolution digital images are usually downscaled to fit various dis...
research
03/19/2015

Edge Detection: A Collection of Pixel based Approach for Colored Images

The existing traditional edge detection algorithms process a single pixe...
research
06/06/2022

Single pixel imaging at high pixel resolutions

The usually reported pixel resolution of single pixel imaging (SPI) vari...
research
09/15/2017

Adaptive compressed 3D imaging based on wavelet trees and Hadamard multiplexing with a single photon counting detector

Photon counting 3D imaging allows to obtain 3D images with single-photon...
research
09/21/2018

Unsupervised Image to Sequence Translation with Canvas-Drawer Networks

Encoding images as a series of high-level constructs, such as brush stro...

Please sign up or login with your details

Forgot password? Click here to reset