Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Thematic Layering in GIS

Thematic Layering in GIS

In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...

Levels of Use of a GIS

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...

Fischer Projections

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...

Plotting of Topographic Maps

Plotting of Topographic Maps

Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...

Topographic Surveying and Contours

Topographic Surveying and Contours

Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...

Design Example: Alignment of a Road Line Using GIS

Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

End-to-End Image Compression With Segmentation Guided Dual Coding for Wind Turbines.

IEEE transactions on neural networks and learning systems·2026

Same author

Optimization of Probabilistic Shaping for Nonlinear Fiber Channels with Non-Gaussian Noise.

Entropy (Basel, Switzerland)·2020

Same author

Compressive Online Robust Principal Component Analysis via - Minimization.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2018

Same author

Two-dimensional distributed-phase-reference protocol for quantum key distribution.

Scientific reports·2016

Same author

Modeling the Quality of Videos Displayed With Local Dimming Backlight at Different Peak White and Ambient Light Levels.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2016

Same author

Modeling the subjective quality of highly contrasted videos displayed on LCD with local backlight dimming.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2014

Search research articles

Related Experiment Video

Updated: Jul 7, 2026

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Content layer progressive coding of digital maps.

Søren Forchhammer¹, Ole Riis Jensen

¹Res. Center COM, Tech. Univ. Denmark, Lyngby, Denmark. sf@com.dtu.dk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|February 6, 2008

Summary

This summary is machine-generated.

A novel lossless compression method enhances image coding for web content like maps and logos. This progressive coding technique significantly reduces file sizes by 50-70% compared to existing methods.

Related Experiment Videos

Last Updated: Jul 7, 2026

Using Generative Art to Convey Past and Future Climate Transitions

Using Generative Art to Convey Past and Future Climate Transitions

Published on: March 31, 2023

Area of Science:

Computer Science
Image Processing
Data Compression

Background:

Limited bits/pixel images like maps and logos are common on the World Wide Web.
Existing image compression methods lack efficient progressive coding capabilities for such content.

Purpose of the Study:

To develop a new lossless context-based method for progressive coding of limited bits/pixel images.
To improve compression efficiency and enable progressive display for web images.

Main Methods:

A context-based progressive coding approach is presented, encoding images in content layers.
Combines template-based context bilevel coding, context collapsing for multilevel images, and arithmetic coding.
Utilizes relative pixel patterns for context collapsing and provides expressions for context calculation.

Main Results:

The new method outperforms existing schemes for digital map compression.
Achieves significant size reduction (50-70%) compared to the state-of-the-art PWC coder on layered map images.
Provides effective progressive coding capabilities.

Conclusions:

The developed method offers superior lossless compression and progressive coding for web images.
It presents a significant advancement in compressing limited bits/pixel images, particularly maps and logos.
The technique is efficient and provides substantial file size reduction.