Mohammed Siddeq

Mohammed Siddeq
Professor in Northern Technical University - IRAQ · Computer Engineering Dept.

PhD from Sheffield Hallam University - UK
Professor at Computer Engineering Dept.

About

20
Publications
6,714
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231
Citations
Introduction
intersting: - 2D image and Video Compression - 3D mesh data compression Iam working in Northern Technical University Computer Engineering Deprt. IRAQ - Kirkuk Additionally, i am part of group research in Sheffield Hallam University ( C3RI)

Publications

Publications (20)
Preprint
Full-text available
It is essential to use image quality measuring metrics tools that can provide accurate and close to perceived quality sense of the tested images. Such tools give metrics that can be used to compare the performance of compression algorithms. In this paper, two new metrics to measure the quality of decompressed images are proposed. Compared with othe...
Article
Full-text available
The optimal solution to the difficult issues associated with bytes consumption of digital images is to utilize image compression techniques that essentially based on exploiting redundancy(s) efficiently to minimize image size for storage requirements and /or fast transmitted. 1-D polynomial coding is a simple form of the common 2D-polynomial coding...
Article
Full-text available
This research proposes a new image compression and encryption method depend on a modified JPEG technique combined with the Hexa-Coding algorithm. The compression algorithm starts by dividing an image into 8x8 blocks, then DCT (Discrete Cosine Transform) is applied to all blocks independently followed by uniform quantization. Additionally, the size...
Article
Full-text available
In this paper a novel method for 2D image compression is proposed and demonstrated through high quality reconstruction with compression ratios up to 99%. The proposed novel algorithm is based on a two-level discrete cosine transform (DCT) followed by Hexadata coding and arithmetic coding at compression stage. The novel method consists of four main...
Article
Full-text available
JPEG is most popular image compression and encoding, this technique is widely used in many applications (images, videos and 3D animations). Meanwhile, researchers are very interested to develop this massive technique to compress images at higher compression ratios with keeping image quality as much as possible. For this reason in this paper we intr...
Article
Full-text available
A 3D mesh can be reconstructed from multiple viewpoint images or from a single structured light image. Lossy compression of such images by standard techniques such as JPEG at high compression ratios lead to 3D reconstruction being adversely affected by artifacts and missing vertices. In this paper we demonstrate an improved algorithm capable of hig...
Article
Full-text available
We present a novel robust and secure steganography technique to hide images into audio files aiming at increasing the carrier medium capacity. The audio files are in the standard WAV format, which is based on the LSB algorithm, while images are compressed by the GMPR technique which is based on the Discrete Cosine Transform and high-frequency minim...
Article
Full-text available
We proposed a novel method for 2D image compression-encryption whose quality is demonstrated through accurate 2D image reconstruction at higher compression ratios. The method is based on the DWT-Discrete Wavelet Transform where high frequency sub-bands are connected with a novel Hexadata crypto-compression algorithm at compression stage and a new f...
Article
Full-text available
In the present era of the internet and multimedia, image compression techniques are essential to improve image and video performance in terms of storage space, network bandwidth usage, and secure transmission. A number of image compression methods are available with largely differing compression ratios and coding complexity. In this paper we propos...
Article
Full-text available
In this paper, a new method for image compression is proposed whose quality is demonstrated through accurate 3D reconstruction from 2D images. The method is based on the discrete cosine transform (DCT) together with a high-frequency minimization encoding algorithm at compression stage and a new concurrent binary search algorithm at decompression st...
Article
Full-text available
This paper introduces a new method for 2D image compression whose quality is demonstrated through accurate 3D reconstruction using structured light techniques and 3D reconstruction from multiple viewpoints. The method is based on two discrete transforms: (1) A one-dimensional Discrete Cosine Transform (DCT) is applied to each row of the image. (2)...
Article
A large number of applications in medical visualization, games, engineering design, entertainment, heritage, e-commerce and so on require the transmission of 3D models over the Internet or over local networks. 3D data compression is an important requirement for fast data storage, access and transmission within bandwidth limitations. The Wavefront O...
Article
Full-text available
Image compression techniques are widely used on 2D image 2D video 3D images and 3D video. There are many types of compression techniques and among the most popular are JPEG and JPEG2000. In this research, we introduce a new compression method based on applying a two level discrete cosine transform (DCT) and a two level discrete wavelet transform (D...
Article
Full-text available
This research presents a novel algorithm to compress high-resolution images for accurate structured light 3D reconstruction. Structured light images contain a pattern of light and shadows projected on the surface of the object, which are captured by the sensor at very high resolutions. Our algorithm is concerned with compressing such images to a hi...
Article
this research presents a new algorithm for an image compression consist of three phases; the first phase is using "Discrete Wavelet Transformation (DWT)", to produce low-frequency and high-frequencies sub-bands. The high-frequencies sub-bands are ignored (i.e. not used in this research), in the second phase used "Discrete Cosine Transformation (DCT...
Article
Full-text available
In this paper introduce new idea for image compression based on the two levels DWT. The low-frequency sub-band is minimized by using DCT with the Minimize-Matrix-Size-Algorithm, which is converting the AC-coefficients into array contains stream of real values, and then store the DC-coefficients are stored in a column called DC-Column. DC-Column is...
Article
Full-text available
This paper introduces an idea for image compression by using Genetic Algorithm and Arithmetic Coding. First stage is by using perceptron neural network to compress each three-pixels into single value, this value is called Compression value. In this paper the neural network did not need weights for training at compression part, the weights used in t...
Article
In this research we introduce and idea for image compression, based on JPEG technique and Sequential Search Algorithm, at first using Discrete Wavelet Transform (DWT) to obtain LL sub-band, then apply JPEG technique on the LL sub-band. JPEG technique consist of; JPEG Transformation, and JPEG Coding. The LL sub-band transformed by JPEG transformatio...

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