# Advanced Data Compression Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/advanced-data-compression-techniques/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers covers a wide range of image compression techniques and standards, including JPEG2000, wavelet compression, lossless compression, scalable compression, video coding, deep learning approaches, lifting scheme, hyperspectral imaging, vector quantization, and error-resilient coding. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t10901 |
| Works | 41 |

## Topic papers all

Showing 15 of 41.

- [The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS](https://scholariq.org/papers/the-loco-i-lossless-image-compression-algorithm-principles-and-standardization/)
- [MOTION COMPENSATED INTER-FRAME CODING FOR VIDEO CONFERENCING](https://scholariq.org/papers/motion-compensated-inter-frame-coding-for-video-conferencing/)
- [Co-regularized Multi-view Spectral Clustering](https://scholariq.org/papers/co-regularized-multi-view-spectral-clustering/)
- [Boosted decision trees as an alternative to artificial neural networks for particle identification](https://scholariq.org/papers/boosted-decision-trees-as-an-alternative-to-artificial-neural-networks-for/)
- [Low-complexity lossless compression of hyperspectral imagery via linear prediction](https://scholariq.org/papers/low-complexity-lossless-compression-of-hyperspectral-imagery-via-linear/)
- [Vector quantization for license-plate location and image coding](https://scholariq.org/papers/vector-quantization-for-license-plate-location-and-image-coding/)
- [A hybridized K-means clustering approach for high dimensional dataset](https://scholariq.org/papers/a-hybridized-k-means-clustering-approach-for-high-dimensional-dataset/)
- [Abnormal Breast Detection in Mammogram Images by Feed-forward Neural Network Trained by Jaya Algorithm](https://scholariq.org/papers/abnormal-breast-detection-in-mammogram-images-by-feed-forward-neural-network/)
- [Vector quantization for entropy coding of image subbands](https://scholariq.org/papers/vector-quantization-for-entropy-coding-of-image-subbands/)
- [Compression of hyperspectral imagery](https://scholariq.org/papers/compression-of-hyperspectral-imagery/)
- [The iDUDE Framework for Grayscale Image Denoising](https://scholariq.org/papers/the-idude-framework-for-grayscale-image-denoising/)
- [Region-of-interest coding based on set partitioning in hierarchical trees](https://scholariq.org/papers/region-of-interest-coding-based-on-set-partitioning-in-hierarchical-trees/)
- [Deep Learning-Based Video Coding: A Review and A Case Study](https://scholariq.org/papers/deep-learning-based-video-coding-a-review-and-a-case-study/)
- [Avoiding over-estimation in bandwidth extension of telephony speech](https://scholariq.org/papers/avoiding-over-estimation-in-bandwidth-extension-of-telephony-speech/)
- [Improved watermarking technique based on significant difference of lifting wavelet coefficients](https://scholariq.org/papers/improved-watermarking-technique-based-on-significant-difference-of-lifting/)

## Topic primary papers

- [The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS](https://scholariq.org/papers/the-loco-i-lossless-image-compression-algorithm-principles-and-standardization/)
- [Low-complexity lossless compression of hyperspectral imagery via linear prediction](https://scholariq.org/papers/low-complexity-lossless-compression-of-hyperspectral-imagery-via-linear/)
- [Vector quantization for license-plate location and image coding](https://scholariq.org/papers/vector-quantization-for-license-plate-location-and-image-coding/)
- [Vector quantization for entropy coding of image subbands](https://scholariq.org/papers/vector-quantization-for-entropy-coding-of-image-subbands/)
- [Compression of hyperspectral imagery](https://scholariq.org/papers/compression-of-hyperspectral-imagery/)
- [Region-of-interest coding based on set partitioning in hierarchical trees](https://scholariq.org/papers/region-of-interest-coding-based-on-set-partitioning-in-hierarchical-trees/)
- [Lossless image coding via adaptive linear prediction and classification](https://scholariq.org/papers/lossless-image-coding-via-adaptive-linear-prediction-and-classification/)
- [An improved lossless image compression algorithm based on Huffman coding](https://scholariq.org/papers/an-improved-lossless-image-compression-algorithm-based-on-huffman-coding/)
- [Remote Sensing Image Compression Based on High-Frequency and Low-Frequency Components](https://scholariq.org/papers/remote-sensing-image-compression-based-on-high-frequency-and-low-frequency/)
- [ECG compression using the context modeling arithmetic coding with dynamic learning vector–scalar quantization](https://scholariq.org/papers/ecg-compression-using-the-context-modeling-arithmetic-coding-with-dynamic/)
- [Dominant colour extraction in DCT domain](https://scholariq.org/papers/dominant-colour-extraction-in-dct-domain/)
- [2-D Compression of ECG Signals Using ROI Mask and Conditional Entropy Coding](https://scholariq.org/papers/2-d-compression-of-ecg-signals-using-roi-mask-and-conditional-entropy-coding/)
- [K-Means Optimization Algorithms of Initial Clustering Center Based on Regional Density](https://scholariq.org/papers/k-means-optimization-algorithms-of-initial-clustering-center-based-on-regional/)
- [A NATURAL LANGUAGE PROCESSING MODEL FOR TEXT TO SPEECH AND SPEECH TO TEXT CONVERSION](https://scholariq.org/papers/a-natural-language-processing-model-for-text-to-speech-and-speech-to-text/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.