8 research outputs found
Saudi Food Industry Value: Profile Disclosure, Profitability, and Sustainable Supply Chain Effects
The purpose of the current research is to examine the impact of industry profile, profitability, and sustainable supply chain on the value of the firm. The firms success is directly related to the efficiency of its supply chain. This research was conducted on firms that typically trade on the Saudi Stock Exchange as belonging to the food industry. Purposive sampling was used in this study to show the sample. In addition, the data collected in this study from the annual report for 20 firms, for three years (2019-2021). This study finds that the Profitability, and Reports of Sustainable supply chain of the firm affect the firm value, and these results are consistent with the perspective of Stakeholder and Agency Theories. However, the firms value is unaffected by the industry profile
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Size Optimization of 3D Stereoscopic Film Frames
3D stereoscopic film has inherently the problem of large frame size that many 3D images compression algorithms already investigated for exploiting complex method, outputting poorly displayed frame, andtakings a long processing time. Consequently, this paper presents the development of a unique technique of clipping the redundant areas from the frames that do not appear in 3D stereoscopic film which delivered side-by-side (SbS) format over anorthodox packet-based network. This implies reducing the size of the 3D film with natural depth perception
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Coding and Decoding Stereoscopic Film Compression by Multiwavelet Transform
Size Optimization of 3D Stereoscopic Film Frames
3D stereoscopic film has inherently the problem of large frame size that many 3D images compression algorithms already investigated for exploiting complex method, outputting poorly displayed frame, and takings a long processing time. Consequently, this paper presents the development of a unique technique of clipping the redundant areas from the frames that do not appear in 3D stereoscopic film which delivered side-by-side (SbS) format over a conventional packet-based network. This implies reducing the size of the 3D film with natural depth perception
Novel 3D Stereoscopic Film Compression using Multiwavelet
In this paper using signal processing transform to compress 3D stereoscopic film. The proposed algorithm offerings an application of 3D RGB volumetric images using Multiwavelet Transform (MWT) decomposition spatial domain into 16 sub-band. The outcome is a novel small film in the editing by using just LL sub-band as a new part of the frame. Thus, firstly, resizes the frame to (1080x1080) that is may be evenly divided into three sub-matrices. Secondly, each sub-matrix to be processed in MWT. Thirdly, the resultant will be half size frame to create the new film from the LL sub-band MWT with less frequency. The contributions of this paper are Optimum broadcasting time and High compressibility ratio. Optimum broadcasting time of 79 Megapixel/second compared to that of the 373 Megapixel/second original time for each 60 frame/ second. The optimum transmitting time ration is 5-fold. High compressibility ratio of (79%). That means the new frame size is just (21%) of the original one
Coding and Decoding Stereoscopic Film Compression by Multiwavelet Transform
This paper proposes a Multiwavelet Transform Algorithm (MWT) to fully utilize the spectral and spatial correlation in the 3D spectroscopic film [1]. A practical lossy compression concept and corresponding compression ratio and quality requirements are submitted to the multiple bands of the frames to construct the film [2]. The MLWT bands image compression technique depend on the contour and edge feature of the multiple band images in the same district [3]. The removal correlation method of the multiple band images contour features is a coding method for the multiple band images [4]. The MWT analysis is discussed and the fast-algorithmic model is designed. The compression and reconstruction the procedure results are the 16-band images that may obtain a compression ratio over the lossy requirements [5]. This compression method has enhanced the quality of reconstruction frames to the requirement of lossy with the high compression ratio [5]. Consequently, the proposed coding and decoding compression technique is achieved efficient transmission for minimum bandwidth usage as well as for the storage usage reduction of 3D stereoscopic film down to 38.19% with dimension [1812,1080] frame
Numerically-analysed Multiwavelet Transform computations: multidimensional compression case studies
Multiwavelet is a signal processing transform that may be utilised in image compression. The main aim of this paper is investigated a practical approach of studying the 3D stereoscopic film compression. As to our best of knowledge, a straightforward mechanism exists, which autonomously deal with the frames context and analysis it’s left and right components via compressing to publish and display a set of connected authorised frames. However, various aspects and challenging issues that require extensive research to cope with and to be considered during the research to provide a real time and effective approach (Al-Ramahi, Al-Bayatti, & Alfaouri, 2007) [2]. The coding of Multiwavelet Transform (MWT) is based on the fact that the huge sequences of images in the 3D film are contiguous on the temporal axis. Therefore, the MWT may completely exploit the correlations of images by processing with orthogonal filters and the set partitioning techniques. That includes a dynamic coding of the coefficients to implement the Rate-distortion performance indices of Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). Additionally, the colour space relationships are exploited as well as maintaining the full embeddedness required by colour image sequences compression ratio [3]. MWT is utilised to address the issue of compression and manage a precise action, encourage, enhance the film image by improving the signal of the images film. Multiwavelet Transform produces a new image with a minimum size of the original image to avoid the overhead and create a new film with minimum size [1] [2]. The performance analysis depends on watching the parsing assessment of compression. What's more, the significance of comment to improve the execution of the 3D film quality is evaluated too [3] [4]. This method efficiently outperforms the existing work of compressing 3D stereoscopic films [5] [6]. All the objectives of this project are carried out and the results clearly obtained by simulation without losing the data and enhance the quality