# Image Compression Using Neural Networks

@inproceedings{Masalmah2002ImageCU, title={Image Compression Using Neural Networks}, author={Yahya M. Masalmah and Dr. Jorge Ortiz}, year={2002} }

In this project, multilayer neural network will be employed to achieve image compression. The network parameters will be adjusted using different learning rules for comparison purposes. Mainly, the input pixels will be used as target values so that assigned mean square error can be obtained, and then the hidden layer output will be the compressed image. It was noticed that selection between learning algorithms is important as a result of big variations among them with respect to convergence… Expand

#### 11 Citations

Neural Network based Complex Image Compression using Modified Levenberg-Marquardt method for Learning

- 2011

The emergence of artificial neural networks in image processing has led to improvements in image compression. In this paper an adaptive method for image compression based on complexity level of the… Expand

A Survey on Image Compression Techniques Using Artificial Neural Networks

- 2017

This Survey paper covers neural network built on image compression method. Image compression performs an important part incommunication application, to reduce the redundancy of pixels from the image,… Expand

Full Resolution Image Compression with Deep Neural Networks

- Computer Science
- 2017

The proposed algorithm is effective in accomplishing better errorcorrection and reducing the storage requirements, and shows better quality of the decompressed images along with less computational capacity. Expand

Artificial Neural Network based Image Compression using

- 2011

Uncompressed multimedia (graphics, audio and video) data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds, and… Expand

Fuzzy Neural Network based Image Compression using Levenberg-Marquardt Algorithm

- 2012

Uncompressed multimedia (graphics, audio and video) data requires considerable storage capacity and transmission bandwidth. Despite rapid progress in mass-storage density, processor speeds, and… Expand

Compression of Monochromatic and Multicolored Image with Neural Network

- Computer Science
- 2021

The ANN algorithm investigated is BEP-SOFM, which uses a Backward Error Propagation algorithm to quickly obtain the initial weights, and then these weights are used to speed up the training time required by the Self-Organizing Feature Map algorithm. Expand

Image Compression Technique Based on Fractal Image Compression Using Neural Network – A Review

- Computer Science
- Asian Journal of Research in Computer Science
- 2021

This paper explores a unique neural network FIC that is capable of increasing neural network speed and image quality simultaneously and demonstrates the quality of this FIC by demonstrating the simulation findings. Expand

Wavelet Networks Approach for Image Compression

- Materials Science
- 2007

Natural gas whose calorific value is to be determined is illuminated with a light beam that is applied by a measurement head and that defines three measurement bands with different wavelength ranges… Expand

New Method to Reduce the Size of Codebook in Vector Quantization of Images

- Mathematics
- 2005

The vector quantization method for image compression inherently requires the generation of a codebook which has to be made available for both the encoding and decoding processes. That necessitates… Expand

Supervised fuzzy and Bayesian classification of high dimensional data: a comparative study

- Computer Science
- Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101)
- 2000

Performance results of the three algorithms are presented on simulated and real remote sensing multispectral data, which show improvement in the classification accuracy using the SFCM technique. Expand

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