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Related Concept Videos

Block Diagram Reduction01:22

Block Diagram Reduction

The process of deriving the transfer function of a control system often involves reducing its block diagram to a single block. This simplification can be achieved through a series of strategic operations, including relocating branch points and comparators. These operations preserve the overall function of the system while allowing for easier manipulation and combination of blocks.
The first step in this process is the identification and relocation of a branch point. A branch point, where a...
Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
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Upsampling

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Related Experiment Videos

Compression artifact reduction by overlapped-block transform coefficient estimation with block similarity.

Xinfeng Zhang, Ruiqin Xiong, Xiaopeng Fan

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |July 30, 2013
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel method to reduce compression artifacts in block transform coded images. The technique enhances image quality at low bit rates by estimating transform coefficients using non-local information.

    Related Experiment Videos

    Area of Science:

    • Digital Image Processing
    • Signal Processing

    Background:

    • Block transform coding is prone to artifacts at low bit rates due to coarse quantization.
    • These artifacts degrade the visual quality of compressed images.

    Purpose of the Study:

    • To propose a new method for reducing compression artifacts in block transform coded images.
    • To improve the subjective and objective quality of images compressed at low bit rates.

    Main Methods:

    • A novel overlapped-block transform coefficient estimation method using non-local blocks.
    • Adaptive fusion of two prediction values (quantized coefficients and weighted non-local averages) based on reliability.
    • Reliability determined by quantization steps and coefficient variance in non-local blocks.
    • Optimization problem solved by dividing overlapped blocks into independent subsets.

    Main Results:

    • The proposed method effectively reduces compression artifacts.
    • Significant improvements in both subjective and objective image quality were observed.
    • A parameter selection strategy for different compression levels was developed.

    Conclusions:

    • The non-local transform coefficient estimation method successfully mitigates block transform coding artifacts.
    • The approach offers a robust solution for enhancing image quality in low bit rate scenarios.
    • The adaptive fusion strategy and independent subset optimization contribute to efficient artifact reduction.