Publications by authors named "Muhammad Sabir"

35 Publications

Unequal power allocation for JPEG transmission over MIMO systems.

IEEE Trans Image Process 2010 Feb 15;19(2):410-21. Epub 2009 Sep 15.

VuCOMP, Inc., Richardson, TX 75080, USA.

With the introduction of multiple transmit and receive antennas in next generation wireless systems, real-time image and video communication are expected to become quite common, since very high data rates will become available along with improved data reliability. New joint transmission and coding schemes that explore advantages of multiple antenna systems matched with source statistics are expected to be developed. Based on this idea, we present an unequal power allocation scheme for transmission of JPEG compressed images over multiple-input multiple-output systems employing spatial multiplexing. The JPEG-compressed image is divided into different quality layers, and different layers are transmitted simultaneously from different transmit antennas using unequal transmit power, with a constraint on the total transmit power during any symbol period. Results show that our unequal power allocation scheme provides significant image quality improvement as compared to different equal power allocations schemes, with the peak-signal-to-noise-ratio gain as high as 14 dB at low signal-to-noise-ratios.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1109/TIP.2009.2032346DOI Listing
February 2010

Joint source-channel distortion modeling for MPEG-4 video.

IEEE Trans Image Process 2009 Jan;18(1):90-105

K-WILL Corporation, San Jose, CA 95134, USA.

Multimedia communication has become one of the main applications in commercial wireless systems. Multimedia sources, mainly consisting of digital images and videos, have high bandwidth requirements. Since bandwidth is a valuable resource, it is important that its use should be optimized for image and video communication. Therefore, interest in developing new joint source-channel coding (JSCC) methods for image and video communication is increasing. Design of any JSCC scheme requires an estimate of the distortion at different source coding rates and under different channel conditions. The common approach to obtain this estimate is via simulations or operational rate-distortion curves. These approaches, however, are computationally intensive and, hence, not feasible for real-time coding and transmission applications. A more feasible approach to estimate distortion is to develop models that predict distortion at different source coding rates and under different channel conditions. Based on this idea, we present a distortion model for estimating the distortion due to quantization and channel errors in MPEG-4 compressed video streams at different source coding rates and channel bit error rates. This model takes into account important aspects of video compression such as transform coding, motion compensation, and variable length coding. Results show that our model estimates distortion within 1.5 dB of actual simulation values in terms of peak-signal-to-noise ratio.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1109/TIP.2008.2005819DOI Listing
January 2009

Haplotype analysis of two X-chromosome STR clusters in the Pakistani population.

Int J Legal Med 2009 Jan 15;123(1):85-7. Epub 2008 Nov 15.

National Centre of Excellence in Molecular Biology, University of the Punjab, 87 West Canal Bank Road, Lahore, 53700, Pakistan.

Haplotype analysis of closely associated markers has proven to be a powerful tool in kinship analysis especially when X-chromosome short tandem repeats fail to resolve uncertainty in relationship analysis. Microsatellites located on the X chromosome show stronger linkage disequilibrium compared with autosomal microsatellites; hence, it is necessary to estimate the haplotype frequencies directly from population studies as linkage disequilibrium is population-specific. Here, we describe five markers residing in two clusters; cluster I harboring three STR markers DXS6801-DXS6809-DXS6789 and cluster II harboring two STR markers DXS7424-DXS101. A total of 302 male DNA samples of Pakistani descent were analyzed. Theoretically, 847 and 160 different combinations of haplotypes are possible in clusters I and II, but genotyping identified only 129 and 75 haplotypes, respectively. No evidence of linkage disequilibrium was detected, except for the pair (DXS6801-DXS6789), consistent with results obtained with the cluster I in a German population. Our results demonstrate that 83% haplotypes of cluster I and 65% haplotypes of cluster II show <1% frequency in the Pakistani population. This strongly suggests that haplotypes of these two clusters provide a powerful tool for kinship testing and relationship investigations.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00414-008-0294-7DOI Listing
January 2009

A statistical evaluation of recent full reference image quality assessment algorithms.

IEEE Trans Image Process 2006 Nov;15(11):3440-51

Texas Instruments, Inc., Dallas, TX 75243, USA.

Measurement of visual quality is of fundamental importance for numerous image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically assess the quality of images or videos in agreement with human quality judgments. Over the years, many researchers have taken different approaches to the problem and have contributed significant research in this area and claim to have made progress in their respective domains. It is important to evaluate the performance of these algorithms in a comparative setting and analyze the strengths and weaknesses of these methods. In this paper, we present results of an extensive subjective quality assessment study in which a total of 779 distorted images were evaluated by about two dozen human subjects. The "ground truth" image quality data obtained from about 25,000 individual human quality judgments is used to evaluate the performance of several prominent full-reference image quality assessment algorithms. To the best of our knowledge, apart from video quality studies conducted by the Video Quality Experts Group, the study presented in this paper is the largest subjective image quality study in the literature in terms of number of images, distortion types, and number of human judgments per image. Moreover, we have made the data from the study freely available to the research community. This would allow other researchers to easily report comparative results in the future.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1109/tip.2006.881959DOI Listing
November 2006

A joint source-channel distortion model for JPEG compressed images.

IEEE Trans Image Process 2006 Jun;15(6):1349-64

Laboratory for Image and Video Engineering, Department of Electrical and Computer Engineering, The University of Texas at Austin, TX 78712-1084, USA.

The need for efficient joint source-channel coding (JSCC) is growing as new multimedia services are introduced in commercial wireless communication systems. An important component of practical JSCC schemes is a distortion model that can predict the quality of compressed digital multimedia such as images and videos. The usual approach in the JSCC literature for quantifying the distortion due to quantization and channel errors is to estimate it for each image using the statistics of the image for a given signal-to-noise ratio (SNR). This is not an efficient approach in the design of real-time systems because of the computational complexity. A more useful and practical approach would be to design JSCC techniques that minimize average distortion for a large set of images based on some distortion model rather than carrying out per-image optimizations. However, models for estimating average distortion due to quantization and channel bit errors in a combined fashion for a large set of images are not available for practical image or video coding standards employing entropy coding and differential coding. This paper presents a statistical model for estimating the distortion introduced in progressive JPEG compressed images due to quantization and channel bit errors in a joint manner. Statistical modeling of important compression techniques such as Huffman coding, differential pulse-coding modulation, and run-length coding are included in the model. Examples show that the distortion in terms of peak signal-to-noise ratio (PSNR) can be predicted within a 2-dB maximum error over a variety of compression ratios and bit-error rates. To illustrate the utility of the proposed model, we present an unequal power allocation scheme as a simple application of our model. Results show that it gives a PSNR gain of around 6.5 dB at low SNRs, as compared to equal power allocation.
View Article and Find Full Text PDF

Download full-text PDF

Source
http://dx.doi.org/10.1109/tip.2006.871118DOI Listing
June 2006