Proceedings ArticleDOI
Development of improved SSIM quality index for compressed medical images
Basant Kumar,Shishu Bind Kumar,Chandrahas Kumar +2 more
- pp 251-255
Reads0
Chats0
TLDR
The SSIM quality index has been modified by achieving optimal value of arbitrary constant K used in SSIM index expression by developing improved structural similarity index (SSIM) quality assessment parameter for compressed medical images.Abstract:
This paper presents the development of improved structural similarity index (SSIM) quality assessment parameter for compressed medical images. The SSIM has been proved to be better objective quality assessment metric which exploits the structural similarity in the viewing field. In this paper, the SSIM quality index has been modified by achieving optimal value of arbitrary constant K used in SSIM index expression. The analysis has been done for three different types of medical image; MRI scan, CT scan and ultrasound image. SSIM index along with PSNR, MSE and mean-opinion-score (MOS) are computed for SPIHT compressed medical images at varying compression rates by setting values of K in the range 0.02 to 2.0. The value of K giving maximum correlation coefficient (CC) between SSIM index and MOS is selected as optimal value. It is found that optimal values of K equal to 0.5, 0.05 and 0.1 for MRI, CT scan and ultrasound images respectively.read more
Citations
More filters
Journal ArticleDOI
Anatomical-Functional Image Fusion by Information of Interest in Local Laplacian Filtering Domain
Jiao Du,Weisheng Li,Bin Xiao +2 more
TL;DR: A novel method for performing anatomical magnetic resonance imaging-functional (positron emission tomography or single photon emission computed tomography) image fusion is presented and can obtain better performance, compared with the state-of-the-art fusion methods.
Journal ArticleDOI
Image Quality Assessment by Comparing CNN Features between Images.
TL;DR: Experimental results show that the proposed full reference image quality metric is either on par or outperforms 10 other state-of-the-art metrics, demonstrating that CNN features at multiple levels are superior to handcrafted features used in most image quality metrics in capturing aspects that matter for discriminative perception.
Journal ArticleDOI
Prospects of Structural Similarity Index for Medical Image Analysis
TL;DR: Previous studies implementing structural similarity in analyzing medical images from various imaging modalities are presented and structural similarity from the perspective of a family’s historical background, as well as progress made from the original to the recent structural similarity, are described.
Proceedings ArticleDOI
Comparative study of the performance of the JPEG algorithm using optimized quantization matrices for ultrasound image compression
TL;DR: Results show that the improved quantization matrices outperform the traditional matrix in terms of performance and can improve the image quality to values of PSNR slightly above 2dB.
Journal ArticleDOI
A modified L1/2 regularization algorithm for electrical impedance tomography
Wenru Fan,Chi Wang +1 more
TL;DR: A modified algorithm based on L 1/2 regularization (MA1/2) was proposed with the L1/1-norm as the form of the penalty term due to its better sparse characteristic and significantly decreased the effect of measurement noise and improved the quality of reconstructed images.
References
More filters
Journal ArticleDOI
Image quality assessment: from error visibility to structural similarity
TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
Amir Said,William A. Pearlman +1 more
TL;DR: The image coding results, calculated from actual file sizes and images reconstructed by the decoding algorithm, are either comparable to or surpass previous results obtained through much more sophisticated and computationally complex methods.
Proceedings ArticleDOI
Multiscale structural similarity for image quality assessment
TL;DR: This paper proposes a multiscale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions, and develops an image synthesis method to calibrate the parameters that define the relative importance of different scales.
Journal ArticleDOI
Image quality measures and their performance
A.M. Eskicioglu,P.S. Fisher +1 more
TL;DR: Although some numerical measures correlate well with the observers' response for a given compression technique, they are not reliable for an evaluation across different techniques, and a graphical measure called Hosaka plots can be used to appropriately specify not only the amount, but also the type of degradation in reconstructed images.
Image Quality Assessment: From Error Measurement to Structural Similarity
TL;DR: A Structural Similarity Index is developed and its promise is demonstrated through a set of intuitive ex- amples, as well as comparison to both subjective ratings and state-of-the-art objective methods on a database of images compressed with JPEG and JPEG2000.