IMPROVING THE PERFORMANCE OF PREDICTIVE ENCODER BY CHANGING THE IMAGE CONTENT ARRANGEMENT USING GENETIC ALGORITHM

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ASADI AMIRI SEKINEH; HASSANPOUR HAMID

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: MACHINE VISION AND IMAGE PROCESSING Year:2016 | Volume:2 | Issue:2 Page(s): 39-49

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Title

IMPROVING THE PERFORMANCE OF PREDICTIVE ENCODER BY CHANGING THE IMAGE CONTENT ARRANGEMENT USING GENETIC ALGORITHM

Author(s)

ASADI AMIRI SEKINEH | HASSANPOUR HAMID | Issue Writer Certificate

Keywords

IMAGE COMPRESSION

LOSSLESS JPEG

CALIC

GEOMETRIC TRANSFORM

PREDICTIVE ENCODER

Abstract

IMAGE COMPRESSION techniquescan bedividedin to two categoriesoflossyandlossless. Predictiveencoder is the basis of many losslessimagecompression methods. Thisencoder predicts the valuesofimage pixelsusing theirneighboringpixelsvalues. The difference between the actual valueand the predictedvalue of each pixelis considered the errorandthese error valuesarecoded. In this paper, a pre-processing methodis proposed tochange the image content arrangement so that the correlations between the neighboring pixelsincrease. By increasing the correlation between neighboring pixels, PREDICTIVE ENCODER can more accurately predict the value of each pixel, as a result, entropy is reduced in the error image. According toinformation theory, the lower the imageentropy leads to the higher the capability of theentropy encoderinitscompression. In the proposed method, using the genetic algorithm, an appropriate geometrictransformationof rotationandreflectionis applied on each block of the image to strengthen the correlation between neighboring pixels. In this paper, two compression methods, LOSSLESS JPEG and CALIC that are based on predictivecodingareevaluated. The evaluation results of the proposed method on multiple images show that the proposedpre-processingmethodimproves the compressionrate of these two methods.

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APA: Copy

ASADI AMIRI, SEKINEH, & HASSANPOUR, HAMID. (2016). IMPROVING THE PERFORMANCE OF PREDICTIVE ENCODER BY CHANGING THE IMAGE CONTENT ARRANGEMENT USING GENETIC ALGORITHM. MACHINE VISION AND IMAGE PROCESSING, 2(2 ), 39-49. SID. https://sid.ir/paper/265709/en

Vancouver: Copy

ASADI AMIRI SEKINEH, HASSANPOUR HAMID. IMPROVING THE PERFORMANCE OF PREDICTIVE ENCODER BY CHANGING THE IMAGE CONTENT ARRANGEMENT USING GENETIC ALGORITHM. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2016;2(2 ):39-49. Available from: https://sid.ir/paper/265709/en

IEEE: Copy

SEKINEH ASADI AMIRI, and HAMID HASSANPOUR, “IMPROVING THE PERFORMANCE OF PREDICTIVE ENCODER BY CHANGING THE IMAGE CONTENT ARRANGEMENT USING GENETIC ALGORITHM,” MACHINE VISION AND IMAGE PROCESSING, vol. 2, no. 2 , pp. 39–49, 2016, [Online]. Available: https://sid.ir/paper/265709/en

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