Improved block truncation coding using low cost approach for color image compression

Wang, Jihoon; Jeung, Yeun-Cheul; Chong, Jong‐Wha

doi:10.1145/1655925.1656126

Cited by 2 publications

(5 citation statements)

References 7 publications

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“…This algorithm outperformed the BTC algorithm from a performance and quality point of view, but had a higher bit rate than the BTC algorithm (Wang et al, 2009a).…”

Section: Methodsmentioning

confidence: 91%

“…Different approaches of AQC and BTC have been suggested for use as an image compressor for overdrive of motion blur reduction in a Liquid Crystal Display (LCD) (Wang and Chong, 2009;Wang et al, 2009a;Han et al, 2008;Wang et al, 2007;Wang and Chong, 2010). The computation steps of the AQC compression algorithm can be briefly described as follows:…”

Section: Methodsmentioning

confidence: 99%

“…Some of these algorithms use the same two level quantizer, while others use a three-level quantizer (Wang et al, 2009a;Oshri et al, 1993).…”

Section: Introductionmentioning

confidence: 99%

“…In (Wang et al, 2009a), an algorithm for colour image compression was presented. It was a combination of ordinary BTC and adaptive quantization coding AQC (Wang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…It was a combination of ordinary BTC and adaptive quantization coding AQC (Wang et al, 2007). The algorithm presented in (Wang et al, 2009a) transformed the RGB image to luminance-chrominance colour space (YCbCr) and portioned it into (6×6) main blocks, each block being divided into (3×3) sub-blocks. The sub-blocks were encoded using the BTC algorithm to extract four luminance bit planes and 24 moments (two moments for each colour plane of each block).…”

Section: Introductionmentioning

confidence: 99%

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Image Compression Algorithms Using Intensity Based Adaptive Quantization Coding

Al-Azawi¹,

Boussakta²,

Yakovlev³

2011

American Journal of Engineering and Applied Sciences

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Problem statement: Low complexity image compression algorithms are necessary for modern portable devices such as mobile phones, wireless sensor networks and high constraint power consumption devices. In such applications low bit rate along with an acceptable image quality are an essential requirements. Approach: This study proposes low and moderate complexity algorithms for colour image compression. Two algorithms will be presented; the first one is intensity based adaptive quantization coding, while the second is a combination of discrete wavelet transforms and the intensity based adaptive quantization coding algorithm. Adaptive quantization coding produces a good Peak Signal to Noise Ratio (PSNR), but with high bit rates compared with other low complex algorithms. The presented algorithms produce low bit rate whilst preserving the PSNR and image quality at an acceptable range. Results: Experiments were performed using different kinds of standard colour images, a multi level quantizer, different thresholds, different block sizes and different wavelet filters. Both algorithms considered the intensity variation of each colour plane. At high compression ratios the proposed algorithms produced 1-3 bpp bit rate reduction against the stand alone adaptive quantization coding for the same image quality. This reduction was achieved due to dropping of some blocks that claimed to be low intensity variation according to a comparison with predefined thresholds for each colour plane. The results show that the bit rate can be reduced by 72-88% for each low variation image block from the original bit rate. Conclusion: The results obtained show a good reduction in bit rate with the same PSNR, or a slightly less than PSNR of a standalone adaptive quantization coding algorithm. Further bit rate reduction has been achieved by decomposing the input image using different wavelet filters and intensity based adaptive quantization coding. The proposed algorithm comprises a number of parameters to control the performance of the compressed images.

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“…This algorithm outperformed the BTC algorithm from a performance and quality point of view, but had a higher bit rate than the BTC algorithm (Wang et al, 2009a).…”

Section: Methodsmentioning

confidence: 91%

Section: Methodsmentioning

confidence: 99%

“…Some of these algorithms use the same two level quantizer, while others use a three-level quantizer (Wang et al, 2009a;Oshri et al, 1993).…”

Section: Introductionmentioning

confidence: 99%

“…In (Wang et al, 2009a), an algorithm for colour image compression was presented. It was a combination of ordinary BTC and adaptive quantization coding AQC (Wang et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations