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Related Concept Videos

Downsampling01:20

Downsampling

532
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...
532
Upsampling01:22

Upsampling

536
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...
536
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.8K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
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A New Polyphase Down-Sampling Based Multiple Description Image Coding.

Shuyuan Zhu, Zhiying He, Xiandong Meng

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |April 11, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new polyphase down-sampling based Multiple Description Coding (MDC) for images. The novel method enhances image transmission reliability and quality, outperforming existing techniques, especially at high bit rates.

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    Area of Science:

    • Digital Signal Processing
    • Image Compression
    • Information Theory

    Background:

    • Multiple Description Coding (MDC) is crucial for reliable data transmission over error-prone channels.
    • Existing MDC techniques face challenges in balancing compression efficiency and error resilience for image signals.

    Purpose of the Study:

    • To design and evaluate a novel polyphase down-sampling based MDC (NPDS-MDC) for image signals.
    • To improve the performance of MDC, particularly for image transmission over unreliable networks.

    Main Methods:

    • Encoding involves quincunx down-sampling, a new transform for side descriptions, and an error compensation algorithm.
    • Decoding utilizes image interpolation referencing down-sampled pixels and interlacing side descriptions.
    • A compression-constrained central deblocking algorithm is proposed to enhance decoding efficiency.

    Main Results:

    • The proposed NPDS-MDC scheme demonstrates superior performance compared to state-of-the-art methods.
    • Performance gains are particularly notable at high bit rates across various image types.
    • The error compensation and deblocking algorithms effectively reduce distortion and improve efficiency.

    Conclusions:

    • The NPDS-MDC offers a significant advancement in image coding for error-prone environments.
    • The method provides a robust and efficient solution for reliable image transmission.
    • The proposed techniques contribute to the development of advanced source coding strategies.