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Transform Mirroring and Rotation
Published in Humberto Ochoa-Domínguez, K. R. Rao, Discrete Cosine Transform, 2019
Humberto Ochoa-Domínguez, K. R. Rao
In [350] the authors conducted a detailed performance comparison of HEVC main still picture (MSP) profile with other still image and video compression schemes (intra coding only) such as JPEG, JPEG 2000, JPEG-XR, H.264/AVC, VP8, VP9 and WebP. They used PSNR and BD-rate as the comparison metrics (see Figures 2–5 in [350]). Extend this comparison using test sequences with spatial resolution higher than 1280 × 1600. Another image compression standard to consider in this comparison is JPEG-LS. Consider this also regarding comparison with HEVC MSP profile. In project P.8.15. and [350]. Consider mean opinion score (MOS) as the metric for performance comparison of all these standards. Access reference 35 of [350] regarding HEVC subjective evaluation. Note that this project requires extensive man power, detailed testing lab and other resources.
Communication systems and network technologies
Published in Kennis Chan, Future Communication Technology and Engineering, 2015
colour dropper bottom from the window. It is possible to preset the colour of the line, its thickness, and the opacity or coverage. There are also more advanced properties such as various types of lines or corner shapes. It is possible, of course, to set the shape of pen drawings blur and many others. Scripture can choose from a wide range or search for it on the computer. SVG drawings can also contain bitmaps that are embedded with the URL to the source file (Jelinek, 2011). It allows you to export the generated image formats PNG, JPEG, BMP and WebP. The big advantage is that there is no installation required, this tool can be used directly in a web browser. It is supported by the browser Google Chrome, Opera, IE version 6 (even if it is necessary to install plugin) and also Safari (it can be used on devices with iOS (SVG-edit, 2014). can be used on devices with iOS (SVG-edit, 2014). The big advantage is its localization in different languages, and it includes full Czech language support. The smartphone version works without any problems, but again there is a struggle with a certain sizes and a possible discomfort during operation of the instrument (Figure 4).
Low-complexity JPEG quantization table requiring only bit-shift operations
Published in The Imaging Science Journal, 2022
Due to limited processing, storage and communication capacity, as well as the scare energy availability, e.g. in mobiles devices, visual sensor networks [1], wireless endoscopy capsule [2], or multimedia internet of things [3], just to cite a few, images are typically compressed to save energy and storage capacity; and to reduce the transmission bandwidth requirements. Since 1992, many different international standards for image compression and coding such as JPEG [4], JPEG2000 [5], webP [6], BPG [7], HEVC and VVC still image coding [8,9] have been developed to meet the constant expansion of multimedia applications. Over the past years, JPEG standard has gained widespread acceptance; and it is the most commonly used image compression technique in the world since it was introduced in 1992 [10,11]. JPEG compression achieves a high compression ratio with little perceptible loss in image quality. However, this algorithm is very greedy in power and computation time because of its high computational cost [12]. Its complexity comes mainly from transform and quantization steps, which often demand a huge amount of floating-point multiplications. Multiplications are highly expensive in both hardware and software implementations [13], especially for resource-constrained embedded devices. To be efficient implemented, costly multiplications in the transform and quantization steps must be substituted by a simple arithmetic operations, such as bit-shifts.
The key performance indicators of projection-based light field visualization
Published in Journal of Information Display, 2019
Peter A. Kara, Roopak R. Tamboli, Oleksii Doronin, Aron Cserkaszky, Attila Barsi, Zsolt Nagy, Maria G. Martini, Aniko Simon
An example of the compression of a light field acquired by multiple cameras is the work by Tamboli et al. [23], where camera images were separately compressed using the JPEG, JPEG2000, and WebP compression methods. Similarly, the array of lenslet images captured using plenoptic cameras – considered a single image – was compressed using intra-coding methods [22,24].