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Related Concept Videos

2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other axis.
¹H NMR: Complex Splitting01:13

¹H NMR: Complex Splitting

A proton M that is coupled to a proton X results in doublet signals for M. However, NMR-active nuclei can be simultaneously coupled to more than one nonequivalent nucleus. When M is coupled to a second proton A, such as in styrene oxide, each peak in the doublet is split into another doublet.
Splitting diagrams or splitting tree diagrams are routinely used to depict such complex couplings. While drawing splitting diagrams, the splitting with the larger coupling constant is usually applied first.
¹H NMR Signal Multiplicity: Splitting Patterns01:13

¹H NMR Signal Multiplicity: Splitting Patterns

When protons A and X are coupled, their nuclear spin energy levels are slightly modified. This is because the energy required to excite proton A to a spin state parallel to proton X is slightly different from the energy required for it to become anti-parallel to spin X. Consequently, there are two possible excitation frequencies for A (A1 and A2), depending on the spin state of X, and vice versa. The mutual nature of coupling implies that the difference between frequencies A1 and A2, indicated...
Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule

In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the others.
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...

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Related Experiment Video

Updated: Jun 17, 2026

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy (NMR) and Microscale Thermophoresis (MST)
10:28

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy (NMR) and Microscale Thermophoresis (MST)

Published on: November 2, 2018

Compress compound images in H.264/MPGE-4 AVC by exploiting spatial correlation.

Cuiling Lan1, Guangming Shi, Feng Wu

  • 1Department of Electrical Engineering, Xidian University, Xi'an, China. lancuiling@see.xidian.edu.cn

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|December 17, 2009
PubMed
Summary

This study introduces a new H.264 intraframe coding scheme for compound images. The novel approach significantly improves coding efficiency for images with text and graphics, outperforming existing methods.

Related Experiment Videos

Last Updated: Jun 17, 2026

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy (NMR) and Microscale Thermophoresis (MST)
10:28

Measuring Interactions of Globular and Filamentous Proteins by Nuclear Magnetic Resonance Spectroscopy (NMR) and Microscale Thermophoresis (MST)

Published on: November 2, 2018

Area of Science:

  • Digital image processing
  • Video compression standards
  • Computer vision

Background:

  • Compound images, combining text, graphics, and natural imagery, possess anisotropic features that challenge conventional compression methods.
  • Existing compression techniques often struggle with the unique characteristics of text and graphics within compound images, leading to inefficiencies.
  • The H.264 intraframe coding standard provides a baseline but can be further optimized for specific image types.

Purpose of the Study:

  • To develop a novel coding scheme for H.264 intraframe coding tailored for compound images.
  • To enhance spatial correlation exploitation within compound images through new intramodes.
  • To improve the coding efficiency of compound images without significantly compromising performance on natural images.

Main Methods:

  • Introduction of two new intramodes: residual scalar quantization (RSQ) and base colors and index map (BCIM).
  • RSQ mode directly quantizes and codes intrapredicted residues without transformation.
  • BCIM mode employs adaptive color quantization, representing image blocks with base colors and an index map.
  • Rate-distortion optimization (RDO) is used for block-level mode selection between new and existing H.264 intramodes.

Main Results:

  • The proposed scheme demonstrates significant coding efficiency gains for compound images, exceeding 10 dB at certain bit rates.
  • The novel modes effectively exploit spatial correlations unique to text and graphics in compound images.
  • Performance on natural images remains comparable to the standard H.264 intraframe coding.

Conclusions:

  • The developed H.264 intraframe coding scheme offers superior efficiency for compound images.
  • The RSQ and BCIM modes provide effective methods for compressing anisotropic features in compound images.
  • This approach represents a valuable advancement in image and video compression technology for mixed-content imagery.