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Human visual system features enabling watermarking
2002 Edition, Volume 2, January 1, 2002 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Digital watermarking consists of hiding subliminal information into digital media content, also called host data. It can be the basis of many applications, including security and media asset management. In this paper, we focus on the imperceptibility requirement for image...

Muti-scale image enhancement based on properties of human visual system
2011 Edition, Volume 2, October 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

The logarithmic image processing (LIP) model is a mathematical framework which has been proved to be consistent with several laws and fit characteristics of the human visual system. In this paper, we both utilize this LIP model and consider characteristics of...

Infrared and Visible Image Fusion with Context Enhancement Based on Human Visual System
2019 Edition, June 1, 2019 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we proposed a new infrared and visible image fusion method based on human visual system (HVS), which can enhance the context of images in poor tight conditions in the process of fusion without image preprocessing. First, the...

Adaptive Retinex Algorithm Based on Genetic Algorithm and Human Visual System
2016 Edition, Volume 01, August 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Multi-scale retinex is a luminance perceptual algorithm. It is widely used in image enhancement. To get best effect, the parameters need be adjusted according to the scene manually. In order to handle this issue, a novel retinex algorithm based on real-coded genetic...

Color image enhancement and evaluation algorithm based on human visual system
2004 Edition, Volume 3, January 1, 2004 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

We propose a novel color image enhancement method, the human visual system controlled color image enhancement and evaluation (HCCIEE) algorithm, and apply it to color images by considering natural image quality metrics. This HCCIEE algorithm is based on a...

The Study of Realistic Image Rendition Algorithms Based on Human Visual System
2010 Edition, June 1, 2010 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Realistic image rendition is to reproduce the human perception of natural scenes, where the "realistic" means providing machine vision with the ideal images according to human visual system. The main characteristics of realistic image...

The transform image codec based on fuzzy control and human visual system
1995 Edition, Volume 3, August 1, 1995 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A novel processing scheme for gray level image compression based on the human visual system (HVS) and fuzzy control is proposed. The spatial model of the threshold vision that incorporates the masking processes takes account of two...

A wavelet image coding algorithm based on human visual system characteristics
2008 Edition, Volume 1, August 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, a novel wavelet image coding algorithm based on human visual system characteristics is proposed. After dividing the original image into sub-blocks, including smooth block, edge block and texture block, different perceptual weights and...

Human Visual System and Wavelet Transform Based Disparity Estimation
2011 Edition, November 1, 2011 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, three new simple and efficient disparity estimation algorithms are proposed which are based on wavelet transform and human visual system. The core idea behind the proposed algorithms is to create a set of different left and right...

PQMET: A digital image quality metric based on human visual system
2014 Edition, October 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper we propose a digital image quality metric based on human visual system. This metric considers the coefficients of discrete cosine transform related to each 8×8 block of an image. To perform image evaluation PQMET detects a distortion applied...

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