# DCT-based scheme for lossless image compression

@inproceedings{Mandyam1995DCTbasedSF, title={DCT-based scheme for lossless image compression}, author={Giridhar D. Mandyam and Nasir Ahmed and Neeraj Magotra}, booktitle={Electronic Imaging}, year={1995} }

In this paper, a new method to achieve lossless compression of 2D images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high energy DCT coefficients in each block, finds an inverse DCT from only these quantized coefficients, and forms an error residual sequence to be coded. Furthermore, a simple delta modulation scheme is performed on the coefficients that exploits correlation between high energy DCT coefficients in neighboring blocks of an image. The…

## 14 Citations

Lossless Image Compression Using the Discrete Cosine Transform

- Computer Science, EngineeringJ. Vis. Commun. Image Represent.
- 1997

In this paper, a new method to achieve lossless compression of two-dimensional images based on the discrete cosine transform (DCT) is proposed. This method quantizes the high-energy DCT coefficients…

Lossless Image Compression Using Predictive Codebooks

- Computer ScienceDigit. Signal Process.
- 1997

A method for lossless image compression where relative pixel values of prediction regions in a set of training images are stored as a codebook and using the same codebook one can achieve perfect reconstruction of the image.

Predictive codebook design for lossless image compression

- Computer ScienceElectronic Imaging
- 1996

A new method for lossless image compression where relative pixel values of localized neighborhoods in test images are stored in a codebook, and the difference between the actual pixel value and the predicted value from the codebook is coded using an entropy coder.

Eecient Codebook Design for Lossless Image Compression

- Computer Science

A new method for lossless image compression where relative pixel values of localized neighborhoods in test images are stored in a codebook, and the diierence between the actual pixel value and the predicted value from the codebook is coded using an entropy coder.

An Edge Regeneration Method for Artifacts Removal in Compressed Image

- Computer Science, Engineering
- 2015

This paper presents a new Canny edge based restoration method to remove artefacts from compressed image using standard JPEG compression and describes about artefacts which can be consequence of compression and their reduction techniques.

A Compression Artifacts Reduction Method in Compressed Image

- Computer Science, Engineering
- 2016

This paper presents a new Canny edge based restoration method to remove artefacts from compressed image and Experimental effects of proposed method by use of various performance parameters are good.

Efficiency of Jpeg Image Compression Using Quantization Noise Analysis

- Computer Science
- 2016

The proposed method is based on forward quantization noise by quantizing the DCTblocks coefficients with step by one to derive that a decompressed JPEG image has a lower variance of forward quantized noise than its uncompressed counterpart.

Segmentation-based and region-adaptive lossless image compression underpinned by a stellar-field image model

- Computer Science
- 2010

It is concluded that for archiving data, compression methods may indeed save costs for storage media or data transfer time, especially if a large part of the raw images is encoded with 32 bits per pixel.

Lossless compression of Synthetic Aperture Radar images

- Mathematics, Environmental Science1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96
- 1996

This paper provides the results of applying several lossless compression schemes to SAR imagery.

Adaptive color space model based on dominant colors for image and video compression performance improvement

- Computer ScienceComputer Optics
- 2021

The experimental results show that the proposed adaptive color space model provides improved performance of 3 % to 10 % better than YCbCr, YDbDr, YCoCg and YCgCo-R color spaces family.

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