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.

Design and research on the JPEG-LS image compression algorithm

Abstract: With the increasing of imaging sensor resolution, the captured images are becoming larger and larger, which requires higher image compression ratio. This paper analyzes some key points of this standard including nonlinear prediction, golomb coding and Run-Length coding, and discusses the performance in lossless compression of JPEG-LS. The comparison of this standard with other algorithms is also given. While discussing the hardware implementation based on FPGA, this paper presents the cache settings for reading and writing and timing control for the whole hardware design. The analysis shows that JPEG-LS lossless compression algorithm has a certain advantage in the imaging field.

A novel technique for misalignment parameter estimation in double compressed JPEG images

Abstract: The Double JPEG problem and its analysis has been attracting research attention since it is a common way of introducing tamper in digital images. Most Double JPEG based forensic methods assume aligned second compression cycle which is referred as the A-DJPEG scenario. However, when copy-move forgery occurs, the second compression cycle is not always aligned w.r.t the first compression cycle. In such cases the misalignment factor in the horizontal and vertical directions need to be estimated which will be very useful for further blocks in the forensic analysis pipeline. This paper presents a novel technique for estimating the degree of misalignment between the first DCT compression grid and the second DCT compression grid with the motivation that such parameters estimation can be utilized for image forensic applications. The proposed technique is compared with an existing state-of-art technique for misalignment estimation utilizing different grid combinations and for several images from the UCID database in order to validate the superiority of the proposed technique.

Analysis of images for local artificial changes with JPEG compression properties

Abstract: The authors have solved the problem of detecting the local artificial changes (falsifications) with JPEG compression properties [1]. The known methods for detecting these changes [2---4] describe only the distinctive properties of JPEG compressed images from those without compression. The authors have also developed an algorithm for detecting local embeddings with compression properties on the images and for determining the shifts of embedded JPEG blocks in relation to the embedding coordinates, which are multiples of eight. The relationship between the period of peaks at the spectrum of the histogram of DCT coefficients and the quality factor of the JPEG compression algorithm is found. The paper presents the numerical results on the quality of the true and false embedding detections for the developed algorithm.

Lossless compression of correlated images/data with low complexity encoder using distributed source coding techniques

Abstract: This paper presents a novel lossless compression technique to transmit correlated images or data within sensor networks of inexpensive devices by exploiting the temporal correlation under the distributed source coding paradigm where the complexity of the encoder is much lower than that of the decoder. The technique operates in pixel-domain to avoid any lossy transform and relies on syndrome decoding of trellis codes by innovatively encoding the final state of the trellis. Experimental results on standard test video sequences proved superiority of this technique against the entropy based LZW lossless coding as well as a recently developed asymptotically lossless distributed source coding technique.

High performance JPEG decoder based on FPGA

Abstract: This paper describes designing a realtime Joint Photographic Experts Group (JPEG) decoder which is capable of high definition images decoding and realized in a Xilinx Vertex 5 Field Programmable Gate Array (FPGA). We propose a highly efficient pipelining FPGA implementation of the two-dimensional inverse discrete cosine transformation. Ping-pong buffer is introduced in order to improve decoding performance. This JPEG decoder IP performs decompression of 1920 × 1080 pixels images with a speed of 30 frames per second at a required operating frequency as low as 100 MHz.