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.

Techniques for image compression: a comparative analysis

Abstract: Some techniques for image compression are investigated in this article. The first one is the well known JPEG that is the most widely used technique for image compression. The second is principal component analysis (PCA), also called Karhunen-Loeve transform, that is a statistical method applied for multivariate data analysis and feature extraction. In the latter, two approaches are being considered. The first approach uses the classical statistical method and the other one is based on artificial neural networks. In a comparative study, the results obtained by PCA neural network for compressing medical images are analyzed together with those obtained by using the classical statistical method and JPEG compression standard technique.

Bit pattern redundancy removal for Hadamard transformation coefficients and its application to lossless image coding

Abstract: This paper proposes an efficient, lossless image coding method using Hadamard transformation blocksize of 8 × 8. Hadamard transformation coefficients, when seen as bit patterns, are positively correlated with each other. This is because each element of the transformation matrix is either plus or minus if the normalization factor is ignored. Utilizing bit pattern relationships, the proposed method achieves compression efficiency comparable to that of the JPEG lossless compression method. In addition, the proposed method can be programmed in progressive coding which results in lossless by transmitting transformation coefficients sequentially from low frequencies to high frequencies. This property, which cannot be attained by the JPEG lossless compression method, is very useful in a variety of applications. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(6): 1–10, 1997

Tamper Detection Method for Clipped Double JPEG Compression Image

Abstract: With the development of digital image processing technique the credibility of digital image has been questioned. This paper proposes a new tamper detection method for clipped double JPEG compression image based on the statistical characteristics of DCT coefficients and block effect caused by double JPEG compression. The offset of the two DCT grids can be obtained by computing the loss of information. Then we will trim the image according to the offset, and it will be available to estimate the primary compression quality factor. The tampered area can be located according to the difference of DCT coefficients. Experiments results show that the proposed method is robust and effective in detecting the clipped double JPEG compression image. And the method is also applicable to the unclipped double JPEG compression image.

Efficient Adaptive Lossless Compression of Hyperspectral Data using Enhanced DPCM

Abstract: Hyperspectral sensors are imaging spectrometry sensors that generate useful information about climate and the earth surface in numerous contiguous narrow spectral bands, and are widely used in resource management, agriculture, environmental monitoring, etc. Compression of the Hyperspectral data helps in long-term storage and transmission systems. Lossless compression is preferred for high-detail data, such as Hyperspectral data. There are a few well-known methods for lossless compression, such as JPEG standards, and some other previously proposed methods. However, improving the compression ratio of previous methods is the major focus in Hyperspectral-data compression. This paper introduces two new lossless compression methods. One of these methods is adaptive and powerful for the compression of Hyperspectral data, which is based on separating the bands with different specifications and compressing each one efficiently. The new proposed methods improve the compression ratio of the JPEG standards, save storage space, and speed up the transmission system. The proposed methods are applied on different test cases, and the results are evaluated and compared with other state-of-the-art compression methods, such as lossless JPEG and JPEG2000.

Performance evaluation of JPEG 2000-like data decomposition schemes in wavelet codec

Abstract: This paper deals with image data decomposition schemes applied in a wavelet coder according to the JPEG 2000 standard. The 2D subband decomposition and 1D reversible transformation are considered and optimized. Two wavelet codec realizations are applied: slightly modified SPIHT and verification model VM8.6 of JPEG 2000. Selected reversible transforms are evaluated and new effective ones are proposed. Additionally, new subband decomposition methods are tested in a context of standard schemes. Optimized wavelet data decomposition in a wavelet coder can increase an effectiveness of the basic mallat-5/3 transform algorithm even up to 1.5 dB of PSNR in lossy compression and up to 3% of bit rate in lossless compression.