Performance Evaluation of Lossy DPCM Coding of Images
نویسنده
چکیده
The phenomeal increases in the generation, processing, and transmission of digital images have created increasing demands on the storage capacities, the processing speeds, and on the bandwidth of communication. Typical applications include teleradiology, digital libraries, satellite imagery for earth resources, multimedia databases, and several others. Lossy image compression techniques enable the storage of digital images using reasonable space and their transmission with acceptable speed. Lossy DPCM (diierential pulse code modulation) technique for compression and decompression of images ooers the advantages computational simplicity and ease of parallel implementation in hardware/software. In this paper we present results of evaluation of lossy DPCM scheme for coding images using a variety of combinations of quantiz-ers, quantization levels, and prediction coeecients.
منابع مشابه
Dpcm Application to Images Scanned by Sfc Method
The submitted paper deals with the application of lossy compression to two-dimensional curves scanned grey-scale images. A new algorithm based on correlation optimization used for Space Filling Curve (SFC) determination is presented. The resulting 1-dimensional image representation provides a higher neighbour pixel similarity, similar to other methods [6]. One of such methods is the Peano-Hilbe...
متن کاملLossless Image and Intra-frame Compression with Integer-to-Integer DST
Video coding standards are primarily designed for efficient lossy compression, but it is also desirable to support efficient lossless compression within video coding standards using small modifications to the lossy coding architecture. A simple approach is to skip transform and quantization, and simply entropy code the prediction residual. However, this approach is inefficient at compression. A...
متن کاملAn Arithmetic Coding Scheme for Blocked-based Compressive Sensing of Images
Differential pulse-code modulation (DPCM) is recently coupled with uniform scalar quantization (SQ) to improve the rate-distortion (RD) performance for the block-based quantized compressive sensing (CS) of images. In this framework, for each block’s CS measurements, a prediction is generated based on the reconstructed CS measurements of the previous blocks and subtracted from measurements of th...
متن کاملPerformance Evaluation of Emerging Jpegxr Compression Standard for Medical Images
Medical images require lossless compression as a small error due to lossy compression may be considered as a diagnostic error. JPEG XR is the latest image compression standard designed for variety of applications and has a support for lossy and lossless modes. This paper provides in-depth performance evaluation of latest JPEGXR with existing image coding standards for medical images using lossl...
متن کاملLossless and lossy minimal redundancy pyramidal decomposition for scalable image compression technique
We present a new scalable compression technique dealing simultaneously with both lossy and lossless image coding. An original DPCM scheme with refined context is introduced through a pyramidal decomposition adapted to the LAR (Locally Adaptive Resolution) method, which becomes by this way fully progressive. An implicit context modeling of the prediction errors, due to the low resolution image r...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007