Optimal Pixel-to-Shift Standard Deviation Ratio for Training 2-Layer Perceptron on Shifted 60 × 80 Images with Pixel Distortion in Classifying Shifting-Distorted Objects

Soft-then-hard sub-pixel mapping with multiple shifted images

Pixel distribution shifting color correction for digital color images

This paper is concerned with a proposed color correction method called the Pixel Distribution Shifting Color Correction (PDSCC). This method employs a shifting process on the pixel distribution of a color image to correct its white reference point and ensure the white reference point is achromatic. The proposed method has been tested on numerous types of images which include indoor, outdoor, an...

Pixel-by-Pixel Classification of MFISH Images

Multiplex Fluorescence In-Situ Hybridization (M-FISH) is a recently developed chromosome imaging method in which each chromosome is labelled with 5 fluors (dyes) and is also counterstained with DAPI. This paper proposes an automatic pixel by pixel classification algorithm for M-FISH images using a Bayes Classifier. The M-FISH pixel classification was approached as a 25 class 6 feature pattern r...

Optimal pixel aspect ratio for enhanced 3D TV visualization

A sub-pixel mapping method based on an attraction model for multiple shifted remotely sensed images

Sub-pixel mapping is a technique designed to obtain the spatial distribution of different classes in mixed pixels at the sub-pixel scale by transforming fraction images into a classification map. Traditional subpixel mapping algorithms only utilize a low-resolution image, and sub-pixel mapping is an ill-posed problem as information in a single low-resolution image is not enough to obtain a high...