Topic
Lossless JPEG
About: Lossless JPEG is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 51110 citations. The topic is also known as: Lossless JPEG & .jls.
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01 Jan 2009
11 citations
01 Sep 2017
TL;DR: This paper will analyze the complexities of the various algorithms implemented in JPEG Image Compression Algorithm both theoretically and experimentally and explore different optimization schemes in terms of computational performance.
Abstract: Digital Image Processing (DIP) is one of the fastest evolving fields in Computer Science with growing numbers of applications. As the demand for multimedia increases, more advanced sensors are being developed, producing a more demanding volume of data. As a result, the theory of data compression has become extremely significant in reducing data redundancy to save hardware storage space and transmission bandwidth in the context of digital imagery. In this paper, we will analyze the complexities of the various algorithms implemented in JPEG Image Compression Algorithm both theoretically and experimentally. These algorithms include Discrete Cosine Transform, Quantization, and Symbol Encoding techniques such as Huffman and Arithmetic Coding. Finally, we will explore different optimization schemes in terms of computational performance.
11 citations
TL;DR: A new method is proposed that actively uses the JPEG quality level as a parameter in embedding a watermark into an image and can be extracted even when the image is compressed using JPEG.
Abstract: Digital watermarking has been considered as an important technique to protect the copyright of digital content. For a digital watermarking method to be effective, it is essential that a watermark embedded in a still or moving image resists against various attacks ranging from compression, filtering to cropping. As JPEG is a dominant still image compression standard for Internet applications, digital watermarking methods that are robust against the JPEG compression are especially useful. Most digital watermarking methods proposed so far work by modulating pixels/coefficients without considering the quality level of JPEG, which renders watermarks readily removable. In this paper, we propose a new method that actively uses the JPEG quality level as a parameter in embedding a watermark into an image. A useful feature of the new method is that the watermark can be extracted even when the image is compressed using JPEG.
11 citations
TL;DR: In this paper, the authors compare JPEG XR with JPEG 2000 in terms of both objective and subjective visual quality, using subjective tests in a projector-based environment, from which the benefits of the overlap operator have been assessed, especially at high compression ratios.
11 citations
TL;DR: Experimental results show that JP2k outperforms JP3D not only in terms of mean square error (MSE) when CR increases, but also in compression time in the lossy compression way.
Abstract: In this paper, we evaluate lossless and lossy compression techniques to compress quantitative phase images of red blood cells (RBCs) obtained by an off-axis digital holographic microscopy (DHM). The RBC phase images are numerically reconstructed from their digital holograms and are stored in 16-bit unsigned integer format. In the case of lossless compression, predictive coding of JPEG lossless (JPEG-LS), JPEG2000, and JP3D are evaluated, and compression ratio (CR) and complexity (compression time) are compared against each other. It turns out that JP2k can outperform other methods by having the best CR. In the lossy case, JP2k and JP3D with different CRs are examined. Because some data is lost in a lossy way, the degradation level is measured by comparing different morphological and biochemical parameters of RBC before and after compression. Morphological parameters are volume, surface area, RBC diameter, sphericity index, and the biochemical cell parameter is mean corpuscular hemoglobin (MCH). Experimental results show that JP2k outperforms JP3D not only in terms of mean square error (MSE) when CR increases, but also in compression time in the lossy compression way. In addition, our compression results with both algorithms demonstrate that with high CR values the three-dimensional profile of RBC can be preserved and morphological and biochemical parameters can still be within the range of reported values.
11 citations