Research and development in the area of image and video compression are actively being done for over 25 years now. New algorithms and systems have been proposed by researchers to further improve the picture quality and compression ratio. This is an effort to compile some of the latest work done by the researchers in the field of image and video compression. In this paper, compression algorithm for Computed Tomography (CT) images by Wegner is discussed where image is classified into more significant and less significant samples. Another patent by Vetra and Yedidia is discussed where less significant samples are compressed more to achieve desired bit rate. Coding of correlated images is explained using a syndrome bit. A luminance based image compression method by Alekis et al. is also dealt with. The paper concentrates more on video coding techniques, where an object based video compression method is discussed for video conference and video blogging applications. Wireless transmission of high definition multimedia interface (HDMI) digital video signal by Bertonis and Giese is discussed where the system adjusts video compression rate and modulation index to maintain constant symbol rate. Non-linear quantization and modular arithmetic computation based video compression by Waertdt is elaborated where differential encoding is performed on multiple blocks of video data to generate a code word. A lossless video compression method for H.264 codec by Gajeong-dong et al. is also discussed. To improve the quality of the predicted frames, a video compression method by gray A. demos is discussed here that uses interpolation with unequal weighting. General discussion on image and video compression is also discussed in the paper.
Keywords: Image compression, image processing, video processing, JPEG, MPEG, lossless compression, lossy compression, discrete cosine transform, quantization, entropy encoding, video compression techniques, JPEG2000, Embedded Block Coding, scalable image compression, Vector DPCM