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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...
Aliasing01:18

Aliasing

Accurate signal sampling and reconstruction are crucial in various signal-processing applications. A time-domain signal's spectrum can be revealed using its Fourier transform. When this signal is sampled at a specific frequency, it results in multiple scaled replicas of the original spectrum in the frequency domain. The spacing of these replicas is determined by the sampling frequency.
If the sampling frequency is below the Nyquist rate, these replicas overlap, preventing the original signal...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
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...
Deconvolution01:20

Deconvolution

Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...

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Related Experiment Video

Updated: Jun 4, 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

Composite model-based DC dithering for suppressing contour artifacts in decompressed video.

Xin Jin1, Satoshi Goto, King Ngi Ngan

  • 1Information Technology Research Organization, Waseda University, Fukuoka, Japan. xjin@aoni.waseda.jp

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 18, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel block-based decontouring method to reduce false contour artifacts in images and videos. The technique dithers the direct current (DC) value, significantly improving subjective visual quality without impacting texture regions.

Related Experiment Videos

Last Updated: Jun 4, 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

Area of Science:

  • Digital Image Processing
  • Video Compression Standards

Background:

  • Block-based quantization is crucial for image/video compression efficiency.
  • False contour artifacts degrade decoded image/video fidelity and subjective quality.

Purpose of the Study:

  • To propose a block-based decontouring method to reduce false contour artifacts.
  • To improve the subjective quality of decoded images and videos.

Main Methods:

  • A composite model correlating gradient smoothness and block-edge smoothness is established.
  • Direct current (DC) values are automatically dithered based on the composite model.
  • Discrete Cosine Transform (DCT)-based detection prevents artifact reduction in texture regions.

Main Results:

  • The proposed method effectively reduces false contour artifacts.
  • Demonstrated good consistency between the model and actual processing effects.
  • Experimental results show improved subjective quality and comparable processing complexity.

Conclusions:

  • The proposed decontouring method is effective in enhancing image/video quality.
  • The method is feasible for integration into existing video decoders on embedded platforms or SoCs.
  • Offers a viable solution for artifact reduction in block-based video coding.