Image generation with self pixel-wise normalization

Image Quality Enhancement Using Pixel Wise Gamma Correction

This paper presents a new automatic image enhancement method by modifying the gamma value of its individual pixels. Most of existing gamma correction methods apply a uniform gamma value across the image. Considering the fact that gamma variation for a single image is actually nonlinear, the proposed method locally estimates the gamma values in an image using support vector machine. First, a dat...

Improved Pixel-Wise Masking for Image Watermarking

Perceptual watermarking in the wavelet domain has been proposed for a blind spread spectrum technique, taking into account the noise sensitivity, texture and the luminance content of all the image subbands. In this paper, we propose a modified perceptual mask that models the human visual system behavior in a better way. The texture content is appreciated with the aid of the local standard devia...

A Proposed Pixel-Error Model for WISE Image Data

We derive a model for the noise variance in observed (down-linked) value for an image pixel. This will be used in the WSDS instrumental calibration pipeline to initiate uncertainties. These will be propagated and updated downstream for every pixel, and stored in image frames to accompany the primary singleframe products. These uncertainties will be used to assess expected versus actual detector...

Pixel-wise object tracking

In this paper, we propose a novel pixel-wise visual object tracking framework that can track any anonymous object in a noisy background. The framework consists of two submodels, a global attention model and a local segmentation model. The global model generates a region of interests (ROI) that the object may lie in the new frame based on the past object segmentation maps; while the local model ...

Object Tracking via Pixel-Wise and Block-Wise Sparse Representation