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Histogram

Histogram

The histogram is a graphical representation in the x-y form of data distribution in a data set. The horizontal x-axis is labeled with what the data represents (for instance, distance from your home to school). The vertical y-axis is labeled either frequency or relative frequency (or percent frequency or probability).
A histogram graph consists of contiguous (adjoining) boxes. The heights of the bars correspond to frequency values. The graph will have the same shape with respective labels. The...

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Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

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A New Photographic Reproduction Method Based on Feature Fusion and Virtual Combined Histogram Equalization.

Yu-Hsiu Lin¹, Kai-Lung Hua², Yung-Yao Chen³

¹Graduate Institute of Automation Technology, National Taipei University of Technology, Taipei 106, Taiwan.

Sensors (Basel, Switzerland)

|September 28, 2021

Summary

This summary is machine-generated.

This study introduces a new photographic reproduction method to compress high-dynamic-range images for low-dynamic-range displays. It effectively balances global contrast and local details, enhancing image quality for natural visual appearance.

Keywords:

feature fusion histogram equalization human visual system photographic reproduction virtual combined histogram vision sensing technique

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Area of Science:

Computer Vision
Image Processing
Digital Photography

Background:

Compressing high-dynamic-range (HDR) images to low-dynamic-range (LDR) displays while preserving visual information is challenging.
Existing methods struggle to balance global contrast and local detail retention in real-world scenes.
A need exists for advanced photographic reproduction techniques that accurately represent HDR content on LDR displays.

Purpose of the Study:

To propose a novel photographic reproduction method for HDR to LDR image compression.
To develop a technique that effectively integrates both global and local image features.
To achieve visually pleasing and information-preserving image reproduction on standard displays.

Main Methods:

A highlight/shadow region detection scheme generates a weight map for prior information.
Mutually hybrid histogram analysis extracts global and local image features in parallel.
A feature fusion scheme adaptively combines global/local features using Gaussian mixtures and the weight map to create a virtual combined histogram.
A pixel-wise mapping function is formulated using the virtual combined histogram.

Main Results:

The proposed method successfully compresses HDR images to LDR displays.
Experimental results show the method preserves both global contrast and local details effectively.
The output images exhibit a natural and visually pleasing appearance.
The method demonstrated superiority over seven other state-of-the-art techniques.

Conclusions:

The developed photographic reproduction method offers a robust solution for HDR to LDR image compression.
Simultaneous consideration of global and local features leads to superior image quality and visual appeal.
The proposed technique represents a significant advancement in photographic reproduction technology.