Javascript must be enabled to continue!
A JPEG 2000 BASED HYBRID IMAGE COMPRESSION TECHNIQUE FOR MEDICAL IMAGES
View through CrossRef
Use of lossy compression for medical images could result in compression error that may be considered as diagnostic problem by medical doctor. Hybrid schemes, a combination of lossy and lossless compression are used to achieve higher compression ratio without compromising the subjective quality of medical images. This paper proposes a new hybrid compression method for medical images. Different combinations of lossy and lossless compression schemes: RLE, LZW, JPEG LS, JPEG and JPEG2000 are implemented to find out the best hybrid compression combination by keeping subjective quality of medical image as a benchmark. X-ray images are used for experimentation. Experimental results show that hybrid combination of JPEG2000 lossless and lossy JPEG2000 produce optimized results without compromising subject quality of medical images required for diagnostics. The proposed hybrid combination has average compression ratio, space saving, MSE and PSNR of 0.21, 78.97, 1.16 and 47.58 respectively for all the medical images used in experimentation. The proposed hybrid scheme can be used for medical image compression.
Title: A JPEG 2000 BASED HYBRID IMAGE COMPRESSION TECHNIQUE FOR MEDICAL IMAGES
Description:
Use of lossy compression for medical images could result in compression error that may be considered as diagnostic problem by medical doctor.
Hybrid schemes, a combination of lossy and lossless compression are used to achieve higher compression ratio without compromising the subjective quality of medical images.
This paper proposes a new hybrid compression method for medical images.
Different combinations of lossy and lossless compression schemes: RLE, LZW, JPEG LS, JPEG and JPEG2000 are implemented to find out the best hybrid compression combination by keeping subjective quality of medical image as a benchmark.
X-ray images are used for experimentation.
Experimental results show that hybrid combination of JPEG2000 lossless and lossy JPEG2000 produce optimized results without compromising subject quality of medical images required for diagnostics.
The proposed hybrid combination has average compression ratio, space saving, MSE and PSNR of 0.
21, 78.
97, 1.
16 and 47.
58 respectively for all the medical images used in experimentation.
The proposed hybrid scheme can be used for medical image compression.
Related Results
Image Forgery Detection and Localization using Modified JPEG Ghost
Image Forgery Detection and Localization using Modified JPEG Ghost
Authenticity of an image taken digitally suffers severe threats as a result of increase in various powerful digital image editing tools. These tools modifies the image contents wit...
Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard
Image Statistics Preserving Encrypt-then-Compress Scheme Dedicated for JPEG Compression Standard
In this paper, the authors analyze in more details an image encryption scheme, proposed by the authors in their earlier work, which preserves input image statistics and can be used...
Lossless and nearly-lossless image compression based on combinatorial transforms
Lossless and nearly-lossless image compression based on combinatorial transforms
Compression d'images sans perte ou quasi sans perte basée sur des transformées combinatoires
Les méthodes classiques de compression d’image sont communément basées ...
Testing of Image Compression Methods
Testing of Image Compression Methods
Seven console codecs BMF 2.01 (BMF.exe), WebP (cwebp.exe, dwebp.exe), PAQ8L (paq-8l_intel.exe), PAQ8P (paq8p_sse2.exe), JPEG-LS (jpeg.exe), JPEG2000 (convert.exe), PNG (opting.exe)...
Efficient JPEG Encoding Using Bernoulli Shift Map for Secure Communication
Efficient JPEG Encoding Using Bernoulli Shift Map for Secure Communication
Abstract
Digital data must be compressed and encrypted to maintain confidentiality and efficient bandwidth usage. These two parameters are essential for information process...
Lossless Compression Method for Medical Image Sequences Using Super-Spatial Structure Prediction and Inter-frame Coding
Lossless Compression Method for Medical Image Sequences Using Super-Spatial Structure Prediction and Inter-frame Coding
Space research organizations, hospitals and military air surveillance activities, among others, produce a huge amount of data in the form of images hence a large storage space is r...
JPEG Column: 102nd JPEG Meeting in San Francisco, U.S.A.
JPEG Column: 102nd JPEG Meeting in San Francisco, U.S.A.
JPEG Trust reaches Draft International Standard stage.
The 102nd JPEG meeting was held in San Francisco, California, USA, from 22 to 26 January 2024. At this meeting, JPE...
Efficient Compression of Red Blood Cell Image Dataset Using Joint Deep Learning-Based Pattern Classification and Data Compression
Efficient Compression of Red Blood Cell Image Dataset Using Joint Deep Learning-Based Pattern Classification and Data Compression
Millions of people across the globe are affected by the life-threatening disease of Malaria. To achieve the remote screening and diagnosis of the disease, the rapid transmission of...

