scispace - formally typeset
Proceedings ArticleDOI

A Novel Method for Image Compression Using Spectrum

Reads0
Chats0
TLDR
This work proposes a novel spectrum based image compression technique, which first blur the image with Point Spread Function determined using spectrum of given image, and then performs deconvolution using the known blur PSF to recover the image.
Abstract
Compression is an important aspect of image processing with respect to transmission and storage. It is an established field of research with very little scope for improvement through customary coding based compression techniques. Consequently, non-customary ways of compression have become an important area for future research. Any information that can be restored can be compressed. Using this principle, we propose a novel spectrum based image compression technique. We first blur the image with Point Spread Function (PSF) determined using spectrum of given image. Blurring increases the DC component in the image which in turns gets further compressed by DCT based JPEG compression compared to original image. To recover the image, we perform deconvolution using the known blur PSF.

read more

Citations
More filters
Journal ArticleDOI

A novel non-customary method of image compression based on image spectrum

TL;DR: A novel spectrum-based image compression technique to further reduce the data footprint with satisfactory quality metric for images is proposed based on the principle ‘Any information that can be restored can be compressed’.
Journal ArticleDOI

Blur parameter locus curve and its applications

TL;DR: The authors propose a blur parameter locus curve (BPLC) as a system representation which has a one to one relationship with blur and characterise the PSF by decomposing the variation of BPLC across all directions based on the study performed for different possible forms of the blur kernels.
Proceedings ArticleDOI

A Novel Blurring based Method for Video Compression

TL;DR: A novel spectrum based compression technique to further reduce the data footprint with satisfactory quality metric for the cases of video with further improvement of 20 to 30% in achieved compression with respect to original MPEG compressed video with satisfactoryquality of recovered input.
Journal ArticleDOI

Comparative Study on MATLAB based JPEG Image Size Reduction Using Discrete Cosine Transform and Shearlet Transform for Mammogram Images with Potential Hospital Data Storage Applications

TL;DR: DCT based compression ratio was higher than the shearlet transforms, proving to be a better compression transform than its counterpart (shearlet).
References
More filters
Journal ArticleDOI

Image Super-Resolution Using Deep Convolutional Networks

TL;DR: Zhang et al. as discussed by the authors proposed a deep learning method for single image super-resolution (SR), which directly learns an end-to-end mapping between the low/high-resolution images.
Journal ArticleDOI

A Method for the Construction of Minimum-Redundancy Codes

TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
Journal ArticleDOI

A method for the construction of minimum-redundancy codes

TL;DR: A minimum-redundancy code is one constructed in such a way that the average number of coding digits per message is minimized.
Journal ArticleDOI

The JPEG still picture compression standard

TL;DR: The author provides an overview of the JPEG standard, and focuses in detail on the Baseline method, which has been by far the most widely implemented JPEG method to date, and is sufficient in its own right for a large number of applications.
Journal ArticleDOI

Fast motion deblurring

TL;DR: A fastdeblurring method that produces a deblurring result from a single image of moderate size in a few seconds by introducing a novel prediction step and working with image derivatives rather than pixel values, which gives faster convergence.