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Upsampling

Upsampling

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...

Tagging and Fusion Proteins

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Proteins are involved in several cellular processes and biochemical reactions. Analyzing a specific protein of interest requires it to be isolated from the other proteins in the cell. This is achieved by overexpressing the specific gene in a suitable host to produce large quantities of the target protein. A tag or label is recombined with the gene to produce a fusion protein containing the target protein and the tag. The tags on these fusion proteins can then be used for easy detection and...

Improving Translational Accuracy

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

Improving Translational Accuracy

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Super-resolution Fluorescence Microscopy

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FISH - Fluorescent In-situ Hybridization

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Fluorescence in situ hybridization, or FISH, was developed in the early 1980s and has quickly become one of the most widely used techniques in cytogenetics. Labeled probes are used to bind complementary DNA or RNA sequences on a chromosome or in a region within a cell. Earlier, the probes could only be obtained by cloning or reverse transcription of a DNA template. Currently, the probe oligonucleotides can be synthesized synthetically. Additionally, with the advancement of optical techniques,...

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Related Experiment Video

Updated: Jun 26, 2026

Decoding Natural Behavior from Neuroethological Embedding

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

High-fidelity data embedding for image annotation.

Shan He, Darko Kirovski, Min Wu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|January 1, 2009

Summary

This summary is machine-generated.

This study introduces a high-fidelity image watermarking technique for secure data hiding. The method ensures image integrity while embedding metadata robustly against common distortions like JPEG compression.

Related Experiment Videos

Last Updated: Jun 26, 2026

Decoding Natural Behavior from Neuroethological Embedding

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Area of Science:

Digital image processing
Information security
Computer vision

Background:

High-fidelity data hiding is crucial for valuable images (artistic, medical).
Existing methods struggle with maintaining image integrity under distortion.
Need for robust watermarking that preserves visual quality.

Discussion:

A novel visual perception model quantifies local noise tolerance in images.
This model guides the embedding of pilot and information watermarks.
The system embeds 32 bits of metadata per image.

Key Insights:

The proposed visual model effectively achieves high-fidelity image watermarking.
Watermarking demonstrates robustness against JPEG compression and cropping.
Successfully tested on diverse photographic and medical image datasets.

Outlook:

Potential applications in digital asset management and medical imaging.
Further research can explore higher payload capacities.
Adaptation for real-time video watermarking is a future direction.