A modified three level Block Truncation Coding for image compression

Anil, Divya Geethakumari; Karthik, K. V.; Kumar, K. S. Ganesh

doi:10.1109/icpair.2011.5976907

Cited by 3 publications

(2 citation statements)

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“…Square Truncation Coding (BTC) is a lossy picture pressure system which utilizes minute saving quantization strategy for packing computerized dark dimension pictures. Despite the fact that this technique holds the visual nature of the recreated picture with great pressure proportion, it demonstrates a few ancient rarities like staircase impact, shoddiness, and so on close to the edges [12,13]. A lot of cutting edge BTC variations announced in writing were considered and it was discovered that however the pressure proficiency is great, the nature of the picture must be improved.…”

Section: Literature Surveymentioning

confidence: 99%

“…Uncompressed multimedia (audio, video and graphics) data requires considerable storage capacity and transmission bandwidth. Compression, is an efficient technique for massive storage capacity, reduces transmission bandwidth, and transmission time needed to transmit data [12,14]. Regardless of quick advancement in mass-stockpiling limit, processor speeds, and computerized correspondence framework execution, interest for information stockpiling limit and information transmission data transfer capacity keeps on overwhelming the abilities of accessible innovations.…”

Section: Problem Identificationmentioning

confidence: 99%

See 1 more Smart Citation

Review of Color Image Compression using Discrete Wavelet Transform and Block based Image Coding

Rai¹,

Shrivastava²,

Nigam³

2019

IJCA

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In this modern era of multimedia, the need of image/video storage and transmission for video conferencing, image and video retrieval, video playback, etc. are increasing at very high rate. As a result, the need for more satisfactory compression technology is always in demand. Modern applications, notwithstanding high pressure proportion, additionally interest for proficient encoding and translating forms, so that to fulfill computational requirement of some continuous applications. Two generally utilized spatial space pressure methods are discrete wavelet change and staggered block truncation coding (BTC).DWT method is used to stationary and non-stationary images and applied to all average pixel value of image. Muli-level BTC is a type of lossy picture pressure system for grayscale pictures. In this, it separates the first pictures into squares and after that a quantizer is utilized to lessen the quantity of dark dimensions in each square yet keeping up a similar mean and standard deviation. In this paper is studied of Multi-level BTCand DWT technique for for gray and color image.

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Section: Literature Surveymentioning

confidence: 99%

Section: Problem Identificationmentioning

confidence: 99%