Lossless Image Compression Technique for Multiview Image Using Arithmetic Encoding
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 5
Abstract
Image compression is a process that reduces the image size and removing the unreasonable information. Shorter data size is suitable because it simply reduces cost. There are number of different data compression methodologies, which are applied to compress most of the formats. Widely used in modern image and video compression algorithm such as JPEG, JPEG-2000, H-263, CALIC. This report deals with the image compression with arithmetic encoding. Arithmetic encoding is common algorithm used in both lossy and lossless data-compression. It is an entropy technique, in which the frequently encountered seen symbols are encoded with fewer bits than lesser seen symbols. By using arithmetic encoding high degree of adaptation and redundancy reduction is achieved. To display high bit resolution images on low bit resolution displays, bit resolution needs to be reduced. Towards achieving a reduced bit rates and high compression gain, an enhanced method for compression of various color images are presented, which is based on hierarchical prediction and adaptive coding. An RGB image is first transformed to YCbCr by a reversible color transform and a various conventional lossless grayscale image compression techniques which encodes Y component. A hierarchical decomposition that enables the use of upper pixels, left pixels, and lower pixels for the pixel prediction to encode the chrominance channel. The prediction error is measured based on context model and the adaptive coding is applied to the error signal. Parameters such as peak signal to noise ratio, encoding, decoding time and bit rate have been evaluated and it is exposed that the proposed method further reduces the bit rates compared with JPEG2000 and CALIC.
Authors and Affiliations
Thalesh Kalmegh, Prof. A. V. Deorankar
Keywords
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