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Related Concept Videos

Reducing Line Loss01:18

Reducing Line Loss

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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...
130
IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

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In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
879
Traveling Waves: Lossless Lines01:27

Traveling Waves: Lossless Lines

106
The provided content explores the behavior of traveling waves on single-phase lossless transmission lines. It begins with a single-phase two-wire lossless transmission line of length Δx, characterized by a loop inductance LH/m and a line-to-line capacitance C F/m. These parameters result in a series inductance LΔx  and a shunt capacitance CΔx.
106
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

69
Transmission-line series resistance and shunt conductance cause three primary effects: attenuation, distortion, and power losses.
Attenuation
When constant series resistance and shunt conductance are present, voltage and current equations are modified. The propagation constant indicates that voltage and current waves consist of both forward and backward traveling components. These waves attenuate as they propagate, with the attenuation factor related to the resistance and conductance. In a...
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Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

71
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
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Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

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Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
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Related Experiment Video

Updated: May 10, 2025

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Lossy Infrared Image Compression Based on Wavelet Coefficient Probability Modeling and Run-Length-Enhanced Huffman

Yaohua Zhu1,2,3, Ya Liu1,2,3, Yanghang Zhu1,2,3

  • 1Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China.

Sensors (Basel, Switzerland)
|April 26, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces Huf-RLC, a novel compression method for infrared images that combines Huffman coding with Run-Length Coding. Huf-RLC significantly improves compression efficiency and speed compared to JPEG and JPEG2000, especially for sparse data.

Keywords:
DWTHuffman codingJPEG2000image lossy compressioninfrared line-scanning images

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Area of Science:

  • Image processing and compression
  • Wavelet transforms
  • Information theory

Background:

  • Infrared line-scanning images suffer from high redundancy and large file sizes.
  • Existing compression methods like JPEG2000 (MQ arithmetic encoder) and Huffman coding have limitations in efficiency and speed, particularly with sparse data containing numerous zeros.

Purpose of the Study:

  • To develop an efficient and fast compression method for infrared line-scanning images.
  • To overcome the limitations of existing compression techniques, especially Huffman coding, when dealing with sparse wavelet coefficients.

Main Methods:

  • Proposed Huf-RLC: a Huffman-based method enhanced with Run-Length Coding (RLC) to leverage zero-run continuity.
  • Developed a wavelet coefficient probability model to simplify Huffman code table generation.
  • Incorporated Differential Pulse Code Modulation (DPCM) to reduce spatial redundancy in low-frequency subbands.

Main Results:

  • Huf-RLC optimizes shortest code encoding, achieving average code lengths below one bit for sparse distributions.
  • The proposed method outperforms JPEG in Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM).
  • Achieved compression speeds 3.155x faster than JPEG2000 and 2.049x faster than JPEG, with minimal performance loss compared to JPEG2000.

Conclusions:

  • Huf-RLC offers a superior compression performance and speed for infrared images compared to JPEG and JPEG2000, particularly at low bitrates.
  • The method effectively addresses the challenges of sparse data and spatial redundancy, providing a viable alternative for infrared image compression.