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 Sep 2015
TL;DR: This paper proposes a new idea for image compression that neither the additional information nor the complex formulas for image decompression are needed and the quality of the decompressed images can be higher than that of JPEG images even when the compression rate is higher.
Abstract: This paper proposes a new idea for image compression that neither the additional information nor the complex formulas for image decompression are needed. Our method includes removing image pixel values from the equalized selected rows and columns for image compression and uses known adjacent pixel values to calculate unknown pixel values for image decompression. We experimentally found that the image quality after compression and decompression by our method is better than that applying joint photographic experts group (JPEG) method for image compression and decompression. Furthermore, the quality of the decompressed images can be higher than that of JPEG images even when the compression rate is higher. Considering the LENA image, when the compression rate is 25%, the image quality in our method is 33.45 dB and that of JPEG images is 32.83 dB, when the compression ratio is 6.25%, the image quality in our method is 27.93 dB and that of JPEG images is 27.49 dB.
Journal Article•
TL;DR: In this article, a new technique is proposed for secure image transmission, which automatically transforms large-volume secret image into secret-fragment-visible mosaic image of the same size.
Abstract: A new technique is proposed for secure image transmission, which automatically transforms large-volume secret image into secret-fragment-visible mosaic image of the same size. The mosaic image is obtained by dividing the secret image into fragments and transforming their color characteristics to be those of the corresponding blocks of the target image. It looks similar to an arbitrarily selected target image and may be used as a camouflage of the secret image. We proposed a approach to enhance security of the mosaic image by providing better Encryption logic which provide faster encryption. And for the sake of transmission we proposed JPEG lossless compression technique which provide good compression ratio.
TL;DR: This paper proposes a novel reversible data hiding technique which effort is separable, the receiver can extract the initial image or additional embedded information or both based on the keys hold from the receiver, so that the work proposes both security and authentication.
Abstract: In this paper Reversible Data hiding restores the carrier once the removing hidden secret information. Many reversible data hiding techniques were proposed within the past few years, but on analysis, almost all does not have in providing the security and authentication. This paper proposes a novel reversible data hiding technique which effort is separable, the receiver can extract the initial image or additional embedded information or both based on the keys hold from the receiver. Alternatively the receiver can verify the information hided through the data hider, so that the work proposes both security and authentication. Digital steganography and watermarking are both types of information hiding. Digital watermarking usually mentioned as hiding for comforting the data. Information hiding in image process could occur the long term frame distortions and then the initial cover medium is probably not prepared to be turned around precisely, once the hidden knowledge are extracted out. This work proposes a novel scheme for separable reversible data hiding in encrypted images. Within the first phase, a content owner encrypts the initial uncompressed image having an encryption key. Then, a data-hider may compress minimal significant bits of the encrypted image by using a data-hiding step to produce a sparse space to allow for some additional data. Through an encrypted image containing additional data, if the receiver gets the data-hiding key, he is able to extract the additional data though he doesn't be aware of image content. When the receiver contains the encryption key, they can decrypt the received data to acquire an image just like the original one, but cannot extract the additional
19 Jun 2003
TL;DR: The suggested method for lossless compression of images requires that the image is presented as a set of 256 image levels, which must contain pixels from the initial image with identical intensity values.
Abstract: Compression of Images is one of the most actual and dynamic developing fields of Informatics and Informational Technologies.The suggested method for lossless compression of images requires that the image is presented as a set of 256 image levels, which must contain pixels from the initial image with identical intensity values.An algorithm containing 4 stages is applied to each level. Each stage of the algorithm is included depending on the satisfying of a criterion for closeness between the pixels of the level.The method can work as Iossless or as perceptually lossless depending on its settings.The method is universal and gives good results comparable to JPEG regarding images of different types and is open for further development at all stages.
01 Jan 2015
TL;DR: In this paper, a growcut based seam carving technique is employed to reduce the size of the JPEG image and noises are added to image to carry out Non Local Linear Filter and its Method Noise Thresholding by means of wavelets (NLFMT) denoising framework.
Abstract: One of the most commonly used image format is Joint Photographic Experts Group (JPEG). The recognition of JPEG compression plays a significant part in digital forensics. In previous work, JPEG image can be compressed upto n times. However, in the compression techniques noise of the JPEG images and the error analysis in the JPEG images are not primarily concentrated. Hence, the recognition of the JPEG compression results will turn out to be complicated. With the intention of overcoming these concern and eliminate the noise from the image samples, in this study formulated a blend of non localmeans filter and its method noise thresholding by means of wavelets. In order to diminish the size of the JPEG image, a Growcut based seam carving technique is employed in this study. Subsequently noises are added to image to carry out Non local Linear Filter (NLF) and its Method Noise Thresholding by means of wavelets (NLFMT) denoising framework. For the purpose of assessing the influence of image compression on the performance of JPEG, a sample Discrete Cosine TransformSingular Value Decomposition (DCTSVD) was computed for single and double image compression, images were quantized by means of numerous quantization matrices, quantization matrix results are assessed with the help of Adaptive Neuro Fuzzy Inference System (ANFIS). Based on ANFIS, the elevated frequency coefficients in quantization matrix are employed to make a distinction among singly and doubly compressed images. Extensive experiments and evaluations with previous techniques reveal that the proposed DCTSVDANFIS scheme can discover the do uble JPEG compression efficiently and noise in the image samples are eliminated with the help of NLFMT methods; it outperforms the existing approaches considerably based on the parameters like Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). The quantization matrix results were assessed using ANFIS; it has extremely much significance in the field of digital forensics.