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Related Concept Videos

Downsampling01:20

Downsampling

724
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...
724
Lossy Lines and Overvoltages01:22

Lossy Lines and Overvoltages

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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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Upsampling01:22

Upsampling

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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...
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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...
783
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

401
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
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IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

1.5K
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...
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Related Experiment Video

Updated: Feb 24, 2026

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

9.8K

Gradient-Based Tone Mapping for Rate-Distortion Optimized Backward-Compatible High Dynamic Range Compression.

David Gommelet, Aline Roumy, Christine Guillemot

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |August 18, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a tone mapping operator for high dynamic range (HDR) image compression. It optimizes rate-distortion performance for backward compatibility, balancing HDR reconstruction quality with standard dynamic range (SDR) layer constraints.

    Related Experiment Videos

    Last Updated: Feb 24, 2026

    Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
    06:50

    Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

    Published on: February 29, 2012

    9.8K

    Area of Science:

    • Computer Vision
    • Image Processing
    • Digital Compression

    Background:

    • High dynamic range (HDR) imaging captures a wider range of light intensities than standard dynamic range (SDR) displays.
    • Backward compatible compression is crucial for displaying HDR content on SDR devices without data loss.
    • Tone mapping operators (TMOs) are essential for adapting HDR images to SDR displays, but optimizing this process for compression is challenging.

    Purpose of the Study:

    • To design a global tone mapping operator for rate-distortion optimized backward compatible compression of HDR images.
    • To formulate two distinct minimization problems for TMO design, addressing different use cases.
    • To evaluate the effectiveness of the proposed models in predicting image rate and distortion.

    Main Methods:

    • The study formulates two minimization problems for tone mapping operator design.
    • Distortion and rate are modeled as functions of the spatial gradient in HDR images.
    • Experimental validation is performed to assess the accuracy of the rate and distortion models.

    Main Results:

    • The proposed rate and distortion models accurately predict real image rate and distortion.
    • The first minimization problem achieves optimal rate-distortion performance.
    • The second optimization successfully balances rate-distortion performance with SDR signal quality preservation.

    Conclusions:

    • The developed tone mapping operator effectively addresses backward compatible compression of HDR images.
    • The gradient-based models provide accurate predictions for rate and distortion.
    • The two optimization approaches offer distinct trade-offs for HDR image compression applications.