Image difference operation is frequently used in automated printed circuit board (PCB) inspection system as well as in many other image processing applications. The inspection system performance depends critically on the speed of this operation, which is a common problem related to the image difference. The goal of our technique is to enhance the performance of the image difference operation in...

One goal of image quality modeling is to predict human judgments of quality between image pairs, without needing knowledge of the image origins. This concept can be thought of as device-independent image quality modeling. The first step towards this goal is the creation of a model capable of predicting perceived magnitude differences between image pairs. A modular color image difference framewo...

The existing methods for image captioning usually train the language model under the cross entropy loss, which results in the exposure bias and inconsistency of evaluation metric. Recent research has shown these two issues can be well addressed by policy gradient method in reinforcement learning domain attributable to its unique capability of directly optimizing the discrete and non-differentia...

The importance of the human contrast sensitivity function (CSF) in a color image difference metric is examined. The contrast sensitivity function is used to extend traditional color difference equations for use with complex image stimulus. Three CSF models of various complexities are evaluated using psychophysical image difference data. Additionally, two models of spatial frequency adaptation a...

In this paper, we present a new metric to estimate the perceived difference in contrast between an original image and a reproduction. This metric, named weighted-level framework EE (WLF-DEE), implements a multilevel filtering based on the difference of Gaussians model proposed by Tadmor and Tolhurst (2000) and the new Euclidean color difference formula in log-compressed OSA-UCS space proposed b...

We present a new technique for monitoring microlensing activity even in highly crowded elds, and use this technique to place limits on low-mass MACHOs in the haloes of M31 and the Galaxy. Unlike present Galactic microlensing surveys, we employ a technique in which a large fraction of the stellar sample is compressed into a single CCD eld, rather than spread out in a way requiring many di erent ...

Color image difference metrics have been proposed to find differences between an original image and a modified version of it. One of these metrics is the hue angle algorithm proposed by Hong and Luo in 2002. This metric does not take into account the spatial properties of the human visual system, and could therefore miscalculate the difference between an original image and a modified version of...

In the present study, 101 women and 106 men from a community sample of British adults completed the Body Appreciation Scale (BAS), along with a battery of individual difference measures and demographics. Contrary to previous findings, there were no sex differences in BAS scores, either before or after controlling for individual differences in other measures. The results also showed that, modera...

This contribution describes a bio-inspired image filtering method using spiking neurons. Bio-inspired approaches aim at identifying key properties of biological systems or models and proposing efficient implementations of these properties. The neural image filtering method takes advantage of the temporal integration behavior of spiking neurons. Two experimental validations are conducted to demo...

The watermark bit assignment controls the watermark embedding strength and the bit plane selection. Quad-tree decomposition is used as analysis technique which involves subdividing of image into blocks that are more homogeneous in comparison to the image itself. This technique gives the information about the structure of the image. This is the first step in adaptive compression algorithms. For ...