JPEG 2000

About: JPEG 2000 is a research topic. Over the lifetime, 3944 publications have been published within this topic receiving 100687 citations. The topic is also known as: JPEG 2000 codestream & J2K.

Preliminary results of SAR image compression usingMatrixView TM on coherent change detection (CCD) analysis

Abstract: An investigation was made into the feasibility of compressing complex Synthetic Aperture Radar (SAR) images using MatrixViewTM compression technology to achieve higher compression ratios than previously achieved. Complex SAR images contain both amplitude and phase information that are severely degraded with traditional compression techniques. This phase and amplitude information allows interferometric analysis to detect minute changes between pairs of SAR images, but is highly sensitive to any degradation in image quality. This sensitivity provides a measure to compare capabilities of different compression technologies. The interferometric process of Coherent Change Detection (CCD) is acutely sensitive to any quality loss and, therefore, is a good measure by which to compare compression capabilities of different technologies. The best compression that could be achieved by block adaptive quantization (a classical compression approach) applied to a set of I and Q phased-history samples, was a Compression Ratio (CR) of 2x. Work by Novak and Frost [3] increased this CR to 3-4x using a more complex wavelet-based Set Partitioning In Hierarchical Trees (SPIHT) algorithm (similar in its core to JPEG 2000). In each evaluation as the CR increased, degradation occurred in the reconstituted image measured by the CCD image coherence. The maximum compression was determined at the point the CCD image coherence remained g 0.9. The same investigation approach using equivalent sample data sets was performed using an emerging technology and product called MatrixViewTM. This paper documents preliminary results of MatrixView's compression of an equivalent data set to demonstrate a CR of 10-12x with an equivalent CCD coherence level of g0.9: a 300-400% improvement over SPIHT.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

A Novel Robust Blind Digital Image Watermarking Scheme Against JPEG2000 Compression

Abstract: In this paper, a novel robust blind digital image water marking scheme is proposed by jointly using discrete wavelet transform (DWT), stationary wavelet transform (SWT), discrete cosine transform (DCT) and singular value decomposition (SVD). Firstly host image is decomposed by DWT and the obtained approximation coefficient is portioned into non-overlapping blocks. For each block, SWT is applied to affine redundant low frequency sub-bands which are subsequently processed by DCT and SVD. Watermark bit is embedded through quantifying the obtained greatest singular value. Extraction of proposed scheme is blind without any referring to the original image or watermark. Experimental result show that watermarked image is visually invisible of which peak signal to noise ratio (PSNR) is above 44 dB. Besides, by comparing with other DWT-SVD robust watermarking approaches, proposed scheme significantly outperforms in robustness against JPEG2000 compression. Performance of proposed scheme is also superior or competitive against other attacks such as rotation, filter or scaling.

Three-D DWT of Efficient Architecture

Abstract: In this paper, the digital data can be transformed using Discrete Wavelet Transform. The images need to be transformed without loosing of information. The Discrete Wavelet Transform was based on time-scale representation, which provides efficient multi-resolution. The lifting based scheme (5, 3) filters give lossless mode of information as per the JPEG 2000 Standard. The lifting based DWT are lower computational complexity and reduced memory requirements. Since Conventional convolution based DWT is area and power hungry which can be overcome by using the lifting based scheme. The DWT is being increasingly used for image coding. This is due to the fact that DWT supports features like progressive image transmission (by quality, by resolution), ease of transformed image manipulation, region of interest coding, etc. DWT has traditionally been implemented by convolution. Such an implementation demands both a large number of computations and a large storage features that are not desirable for either high-speed or low-power applications. Recently, a lifting- based scheme that often requires far fewer computations has been proposed for the DWT. In this paper, the design of Lossless 2-D DWT using Lifting Scheme Architecture will be modeled using the Verilog HDL and its functionality were verified using the Modelsim tool and can be synthesized using the Xilinx tool.

Image Compression with Variable Thresholdand Adaptive Block Size

Abstract: Network technologies and media services provide ubiquitous conveniences for individuals and organizations to gather and process the images in multimedia networks Image compression is the major challenge in storage and bandwidth requirements. A good strategy of image compression gives a better solution for high compression rate without much reducing the quality of the image. In present paper we proposed a simple and effective Method by filtering the image as a preprocessing step and adaptive block size in Block truncation coding at the encoding stage. The results are appealing for finding optimal block size when compare to the JPEG2000 standard.

Image Compression and File Formats

Abstract: As long as memory storage is at a premium, compression of documents and images was a necessity. While today storage is relatively inexpensive, the role of compression still plays an important part of digital imaging. While digital cameras have significant internal memory and the various memory cards can store in as much as 64 gigabytes of data, data compression is still required for the transmission of images and graphics across networks and even from the personal computer to a printer. Transmission of “movies” would be impossible without sophisticated compression algorithms. This chapter focuses on the compression methods developed for the digital still camera, but they have found considerable use in other fields of imaging where massive data sets need to be stored and retrieved for many imaging uses including medicine, graphic arts, HD TV, video conferencing, and digital entertainment. Here, JPEG, JPEG 2000, and some of the encoding techniques are demonstrated along with their advantages and disadvantages. Keywords: compression; JPEG; JPEG 2000; discrete cosine transforms; wavelets; Huffman coding; arithmetic coding; file formats; EXIF; DPCM