Recently, vision transformers have been applied in many computer problems due to its long-range learning ability. However, it has not throughly explored image compression. We propose a patch-based learned compression network by incorporating transformers. The input is divided into patches before feeding the encoder and are reconstructed from decoder form complete image. Different kinds of trans...

The basic goal of region of interest (ROI) based compression for medical image is to enhance the compression efficiency for transmission and storage.Main goal of Region of interest(ROI) compression is to compressROI with supreme quality as compared to other region called Background. For an example, while compressing medical image the diagnostically important region should be compressed with bet...

Performance examinations of a dual-Diesel cycle engine in point performance characteristics such as exergy efficiency, power and density have been conducted. The effect design parameters the intake temperature, pressure, piston friction coefficient, average velocity, revolution, stroke length, residual gas fraction, pressure ratio, temperature compression ratio bore diameter to equivalence on a...

This study is to improve image data compression performance based on variable block-size quadtree image segmentation applied to double predictor differential pulse code modulation (DP–DPCM) image compressive algorithm. The quadtree segmentation method is applied to better allocate image characteristics. A variable block-size double predictor DPCM (VBDP–DPCM) image coding system works on an imag...