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Keywords: Biorthogonal transform Image compression JPEG algorithm All phase biorthogonal transform (APBT) Dual biorthogonal basis vectors Walsh transform (WT) Discrete cosine transform (DCT) Inverse discrete cosine transform (IDCT) Peak signal to noise ratio (PSNR) a b s t r a c t This paper proposes new concepts of the all phase biorthogonal transform(More)
The JPEG standard is the most commonly employed lossy compression method for still continuous-tone images due to its high effectiveness and low computational complexity. However, the visually disturbing blocking artifacts generates when image is compressed at low bit rates. JPEG-based image coding algorithm has shown that employing down-sampling to a low(More)
In order to reduce the memory requirements of the video applications, we present a lossy Bayer image compression pipeline performed better set-partitioning in hierarchical trees (SPIHT) coding as the core of the original data compression algorithm. The proposed method encodes and decodes images available in the CFA format. After finishing the image coding(More)
—In this paper shape adaptive all phase biorthogonal transform (SA-APBT) for coding arbitrarily shaped image segments is proposed. The proposed transform can be used in region-based image compression instead of the shape adaptive discrete cosine transform (SA-DCT). Region-based image coding method is made up of three procedures: image segmentation, contour(More)
—In video compression, it can reduce the redundant information efficiently by motion estimation (ME) and motion compensation (MC), and less code is used to encode as much information as possible. In this paper, I frame encoding adopts wavelet transform and set partitioning in hierarchical trees (SPIHT) algorithm; for P frames, each frame sets the(More)