Visually Lossless Strategies to Decode and Transmit JPEG2000 Imagery

Abstract

Abstract-Visually lossless coding allows image codecs to achieve high compression ratios while producing images without visually noticeable distortion. In general, visually lossless coding is approached from the point of view of the encoder, so most methods are not applicable to already compressed codestreams. This paper presents two algorithms focused on the visually lossless decoding and transmission of JPEG2000 codestreams. The proposed strategies can be employed by a decoder, or a JPIP server, to reduce the decoding or transmission rate without penalizing the visual quality of the resulting images.

A novel image compression algorithm based on the biorthogonal invariant set multiwavelet

“…Because of its wavelet transformation, bit-plane encoding, etc. [14], it has excellent coding efficiency, compatible with lossless and lossy compression, progressive transmission, ROI coding, bitstream random access, etc. So it is widely used in multimedia, remote sensing image transmission, etc.…”

A novel color image compression algorithm using the human visual contrast sensitivity characteristics

“…The visual characteristics of color contrast sensitivity and color CSF remain relatively less explored in available literature, and more work must be done in the future studies [10][11][12][13]. Mullen et al presented an opposite color CSF by performing measurements and data fitting.…”

“…In recent years, a great deal of researches on image compression have been carried out, and many image coding technologies and standards have been developed [4][5][6][7]. These coding techniques mainly involve the image compression technology based on the human visual and auditory characteristics, wavelet transform theory, and fractal theory [8][9][10][11][12][13]. However, the contrast sensitivity characteristics of the human visual system (HVS) have not been exploited much in the field of color image compression [1][2][3].…”