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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TL;DR: A novel approach for the lossless compression of monochrome images using switching theoretic techniques is presented and compares well with JPEG in terms of compression ratio.
13 citations
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19 May 1999TL;DR: A focused-procedure based upon a collection of image processing algorithms that serve to identify regions-of-interest (ROIs), over a digital image is developed, so that the JPEG version allows the result of the compression to be formatted into a file compatible for standard JPEG decoding.
Abstract: We have developed a focused-procedure based upon a collection of image processing algorithms that serve to identify regions-of-interest (ROIs), over a digital image. To loci of these ROIs are quantitatively compared with ROIs identified by human eye fixations or glimpses while subjects were looking at the same digital images. The focused- procedure is applied to adjust and adapt the compression ratio over a digital image: - high resolution and poor compression for ROIs; low resolution and strong compression for the major expanse of the entire image. In this way, an overall high compression ratio can be achieved, while at the same time preserving, important visual information within particularly relevant regions of the image. We have bundled the focused-procedures with JPEG, so that the JPEG version allows the result of the compression to be formatted into a file compatible for standard JPEG decoding. Thus, once the image has been compressed, it can be read without difficulty.
13 citations
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15 May 1994TL;DR: This paper analyzes the JPEG compression algorithm, the international standard for compressing continuous tone images, and shows how higher compression ratios can be achieved with minimal loss in image quality.
Abstract: To meet various transmission and storage constraints, it is desirable that a compression algorithm allows a range of compression ratios. In this paper we analyze the JPEG compression algorithm, the international standard for compressing continuous tone images, and show how higher compression ratios can be achieved with minimal loss in image quality. We compare three methods to achieve variable compression with JPEG. Through a comprehensive analysis using 8 standard monochrome images from the USC database, we propose a method that offers substantial visual quality advantages for high compression ratios. The comparisons have been made by using an objective distortion measure which corresponds well to subjective assessments of visual quality. The paper provides detailed motivation for the algorithms, and suggests the choice of parameters to obtain variable compression with minimal loss in visual quality. >
13 citations
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01 Sep 2012TL;DR: Experimental results indicate that the proposed HDR image compression method outperforms previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a HDR Visible Difference Predictor (VDP).
Abstract: High Dynamic Range (HDR) technology offers high levels of immersion with a dynamic range meeting and exceeding that of the Human Visual System (HVS) A primary drawback of HDR images and video is that memory and bandwidth requirements are significantly higher than for conventional images and video Many bits can be wasted coding redundant imperceptible information The challenge is therefore to develop means for efficiently compressing HDR imagery to a manageable bit rate without compromising perceptual quality In this paper, an HDR image compression method, based on an HVS optimized wavelet subband weighting method is proposed The method has been fully integrated into a JPEG 2000 codec Experimental results indicate that the proposed method outperforms previous approaches and operates in accordance with characteristics of the HVS, tested objectively using a HDR Visible Difference Predictor (VDP)
13 citations
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TL;DR: An efficient method to locate the forged parts in a tampered JPEG image by estimating the shift of NA-DJPEG compression and it doesn't need an image dataset to train a machine learning based classifier or to get a proper threshold.
Abstract: In this paper, we present an efficient method to locate the forged parts in a tampered JPEG image The forged region usually undergoes a different JPEG compression with the background region in JPEG image forgeries When a JPEG image is cropped to another host JPEG image and resaved in JPEG format, the JPEG block grid of the tampered region often mismatches the JPEG block grid of the host image with a certain shift This phenomenon is called non-aligned double JPEG compression (NA-DJPEG) In this paper, we identify different JPEG compression forms by estimating the shift of NA-DJPEG compression Our shift estimating approach is based on the percentage of non zeros of JPEG coefficients in different situations Compared to previous work, our tampering location method (i) performances better when dealing with small image size, (ii) is robust to common tampering processing such as resizing, rotating, blurring and so on, (iii) doesn't need an image dataset to train a machine learning based classifier or to get a proper threshold
13 citations