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Related Concept Videos

Downsampling01:20

Downsampling

When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
Upsampling01:22

Upsampling

Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
Shape and Texture of Coarse Aggregate01:25

Shape and Texture of Coarse Aggregate

Aggregate shape is classified based on the relative sharpness or roundness of the edges and corners. This classification includes categories like rounded, angular, elongated, and flaky, each with specific characteristics. Rounded aggregates, fully shaped by attrition, are typical of river or seashore gravel, while angular aggregates, such as crushed rock, have well-defined edges. Aggregates that are elongated and flaky are less desirable, as they can reduce the workability and strength of...
Computed Tomography01:10

Computed Tomography

Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Design Example: Aggregate Gradation01:24

Design Example: Aggregate Gradation

The right type and quality of aggregates are crucial for concrete as they significantly influence its properties, mix proportions, and cost-effectiveness. If different sources are available for sand, the commonly used fine aggregate in concrete, the selection of sand is primarily based on its gradation.
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is sampled...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

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Related Experiment Video

Updated: Jun 18, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

High-dynamic-range texture compression for rendering systems of different capacities.

Wen Sun1, Yan Lu, Feng Wu

  • 1University of Science and Technology of China, Hefei, China. erwen@mail.ustc.edu.cn

IEEE Transactions on Visualization and Computer Graphics
|November 14, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new high-dynamic-range (HDR) texture compression (TC) method. It offers efficient 4 bpp and 8 bpp formats for real-time rendering, improving quality and reducing memory usage.

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Area of Science:

  • Computer Graphics
  • Image Processing
  • Real-time Rendering

Background:

  • High-dynamic-range (HDR) textures require efficient compression for real-time rendering systems.
  • Existing texture compression methods may not adequately address the demands of HDR data across various rendering capacities.

Purpose of the Study:

  • To propose a novel, flexible, and robust framework for high-dynamic-range texture compression.
  • To develop practical compressed HDR texture formats at different bit rates.
  • To enable memory bandwidth and storage savings in real-time rendering pipelines.

Main Methods:

  • An improved joint-channel compression framework based on the DHTC scheme.
  • Development of two compressed HDR texture formats: 4 bits per pixel (bpp) and 8 bpp.
  • Implementation of a layered architecture for texture consumption.

Main Results:

  • The 8 bpp format achieves near lossless visual quality, outperforming state-of-the-art algorithms.
  • The 4 bpp format is presented as a viable solution with good quality.
  • The proposed formats significantly reduce memory bandwidth and storage requirements in real-time rendering.
  • The 8 bpp format also supports traditional low dynamic range (LDR) RGBA textures.

Conclusions:

  • The proposed framework provides a practical solution for compressing HDR textures at various bit rates.
  • The developed formats offer significant advantages for memory and bandwidth efficiency in real-time graphics.
  • The scheme is versatile, handling both HDR and LDR textures with alpha maps.