1 19005 67% 1 5 20 81 327 1310 5242 20971 64% 1 5 22 89 358 1433 5734 22937 61% 1 6 24 97 389 1556 6225 24903 58% 1 6 26 104 419 1679 6717 26869 55% 1 7 28 112 450 1802 7208 28835 52% 1 7 30 120 481 1925 7700 30801 3. EXPERIMINTAL RESULTS AND DISCSSION The used test set of images is the same as of [21], aerial, cameraman, woman-house, Barbara, Lena, and house, Figure (2). The colored ones changed to gray using  Matlab'  rgb2gray' function as the performance noted to be same for both colored and gray. The percent array in our experiments International Journal of Academic Engineering Research (IJAER) ISSN: 2000-001X Vol. 2 Issue 10, October – 2018, Pages: 19-27 www.ijeais.org/ijaer 21 was based on the fact that loss on the higher planes implies great loss in image power. The outer high planes, 7 and 6, assigned high and equal percent's. Considering the implications of Corollaries(1,2), other plane i percent is set in accordance with the rule ip = max( 2 1ip,0.52). Figure (3) shows the ease percent for planes of our experiments. The highest planes percent's varied from 0.99 to 0.80 with 0.005 decrease step. Assuming ),( yxf is original image matrix of size, MN, are the matrix dimension, maxq is the peak gray, and ),( yxfp is decoded image matrix. Then, the used metrics in our study are: Compression Ratio, sizeimageencoded sizeimageoriginal CR    Mean Square Error, MN yxfpyxf MSE y x * )),(),(( 2    Normalized Root Mean Square Error,     y x y x yxf yxfpyxf NRMSE 2 2 )),(( )),(),(( Peak Signal to Noise Ratio dbMSEqPSNR )/)((log10 2max10 Aerial Cameraman Woman-House Lena House Barbara Figure (2) set of images used in the
1 19005 67% 1 5 20 81 327 1310 5242 20971 64% 1 5 22 89 358 1433 5734 22937 61% 1 6 24 97 389 1556 6225 24903 58% 1 6 26 104 419 1679 6717 26869 55% 1 7 28 112 450 1802 7208 28835 52% 1 7 30 120 481 1925 7700 30801 3. EXPERIMINTAL RESULTS AND DISCSSION The used test set of picture is the like as of [ 21 ], aerial, cameraman, woman - house, Barbara, Lena, and family, Figure (2). The bleached ones changed to grey use   Matlab'   rgb2gray' function as the operation note to be same for both bleached and gray. The percent array in our experiment International Journal of Academic Engineering Research (IJAER) ISSN: 2000 - 001X Vol. 2 Issue 10, October – 2018, Pages: 19 - 27 www.ijeais.org/ijaer 21 was free-base on the fact that loss on the higher planes implies great personnel casualty in image power. The outer gamey planes, 7 and 6, assigned high and equal percentage's. Considering the implication of Corollaries(1,2), other plane i percent is dress in accordance with the rule ip = max (2 1ip,0.52). Figure (3) shows the ease percent for planes of our experiments. The highest planes percent's varied from 0.99 to 0.80 with 0.005 decrease step. Assuming), (yxf is original image matrix of size, MN, are the matrix dimension, maxq is the peak grey, and), (yxfp is decoded image matrix. Then, the secondhand metric unit in our study are: Compression Ratio, sizeimageencoded sizeimageoriginal CR    Mean Square Error, MN yxfpyxf MSE y x *) ), (), (( 2    Normalized Root Mean Square Error,     y x y x yxf yxfpyxf NRMSE 2 2) ), (() ), (), (( Peak Signal to Noise Ratio dbMSEqPSNR) /)((log10 2max10 Aerial Cameraman Woman - House Lena House Barbara Figure (2) set of image used in the
1 19005 67% 1 5 20 81 327 1310 5242 20971 64% 1 5 22 89 358 1433 5734 22937 61% 1 6 24 97 389 1556 6225 24903 58% 1 6 26 104 419 1679 6717 26869 55% 1 7 28 112 450 1802 7208 28835 52% 1 7 30 120 481 1925 7700 30801 3. EXPERIOINTAL RESULTS AND DISCSSION Tye ustb test set of images is the swme as od [21], atrial, cameraman, woman-housc, Bargwra, Nxna, and house, Flgure (2). The wolored ones cvavgzd to gray using  Matlab'  rgb2gray' fugction ss the performanse npeed fo be same for both colored and grzy. The kercent array in oir experiments Internationwl Jlurnal of Academic Engineerint Refwarch (IJAER) KSSN: 2000-001X Vol. 2 Issue 10, Octkber – 2018, Pages: 19-27 www.ijeais.org/ijaer 21 was based on jkw fwwt that losw on nhe higher planes impnies grrat loss in imsge poqer. The outer high plenes, 7 and 6, assigned righ and aqbal percent's. Considerunt the impnicaguonr or Rorkllarifs(1,2), kther plans i percent is set in accordanve qith the rule ip = mwx( 2 1ip,0.52). Figure (3) shows the ease percent for plznes of our experiments. The highest planes pgrcent's vawied from 0.99 to 0.80 with 0.005 decrease step. Assuming ),( yxf hs ormgknao lmagd mwtrix of size, MN, are the matrix dimension, maxz ix nhe peak gray, and ),( yxfp is drcldrq image matrib. Then, ths used metrics in lur stuqy arw: Compresfion Ratio, sizeimageencoded sizwimageorigincl XR    Mean Square Zrror, MN yxf'yxf MXE y c * )),(),(( 2    Normalized Root Meah Square Ergor,     y b y x yxf yxfpyxw NGMSE 2 2 )),(( )),(),(( Peak Signal to Noise Watio dbMWEqPXNR )/)((log10 2max10 Aeriaj Cameramaj Woman-House Lena House Harbata Figgre (2) set ov images used in the
1 19005 67% 1 5 20 81 5242 64% 1 22 89 358 6 97 389 1556 24903 58% 1 26 104 419 1679 6717 26869 1 7 28 112 450 1802 7208 28835 52% 1 7 30 120 1925 7700 30801 3. EXPERIMINTAL RESULTS AND DISCSSION The used test set of is same of aerial, cameraman, woman-house, Barbara, Lena, and house, Figure (2). The colored ones changed to gray using rgb2gray' function as the performance noted to be for both colored and The percent array in our International of Academic Research ISSN: Vol. 2 Issue October – 2018, Pages: 19-27 www.ijeais.org/ijaer 21 was based on the fact that loss on the higher implies great image power. outer planes, and 6, assigned equal percent's. Considering the implications of i percent is set in accordance with the ip = 2 1ip,0.52). Figure (3) shows the percent for planes of our experiments. The highest percent's varied from 0.99 to 0.80 with 0.005 decrease step. Assuming ),( yxf is original of size, MN, are matrix dimension, maxq the gray, ),( is decoded matrix. Then, the used metrics in our study are: Compression Ratio, sizeimageoriginal CR    Mean Square Error, MN yxfpyxf x )),(),(( 2   Normalized Root Mean Error,    y x yxfpyxf )),(( Peak to Noise Ratio dbMSEqPSNR 2max10 Aerial Cameraman Woman-House Lena Barbara Figure (2) set
1 19005 67% 1 5 20 81 327 1310 5242 20971 64% 1 5 22 89 358 1433 5734 22937 61% 1 6 24 97 389 1556 6225 24903 58% 1 6 26 104 419 1679 6717 26869 55% 1 7 28 112 450 1802 7208 28835 52% 1 7 30 120 481 1925 7700 30801 3. EXPERIMINTAL RESULTS AND DIScSSION The uSed teSt sEt oF iMageS is tHe same as of [21], aeriAL, camEraman, woman-house, BarbarA, Lena, AnD HousE, fiGure (2). THe colorED oNES chAnGeD to GrAY uSing  MAtlAb'  rgb2grAy' function As tHe Performance nOTeD to be same fOr bOth colored anD grAy. The pErCenT Array In oUr expErimenTS InterNational JOuRNal of ACAdemic ENGInEeriNg Research (IJAER) ISsn: 2000-001X vOl. 2 Issue 10, October – 2018, pages: 19-27 wWw.IJeAIS.orG/ijAer 21 was baseD oN the fACt that lOSs ON THe hIGher planes impLies great loSS in Image pOwEr. THE outer High pLaNEs, 7 aNd 6, assigned hIgh aNd equal peRcent's. cOnsiderINg the imPlicatIonS of coroLLaRiEs(1,2), oThER plANe I peRCenT is set in AcCoRdancE witH THE Rule Ip = mAx( 2 1ip,0.52). figurE (3) shows the ease PerCent FOr pLanes Of our ExpeRiMents. the higHest pLaNes percent's variEd frOm 0.99 to 0.80 with 0.005 dEcrEaSe sTeP. AssuMIng ),( yxf Is oRigInal imaGe matriX Of sIzE, mn, ArE the matrix dimensioN, mAXQ iS the peak Gray, anD ),( YxFp IS decoded ImAge MatrIX. then, tHe usED mEtrics in Our stuDY aRe: compresSiOn RatiO, sIzeImaGeencODed sIzeimaGeoriginAl CR    MEAn Square Error, Mn Yxfpyxf MSE y x * )),(),(( 2    NORmALIzED RooT MeAn Square ErrOr,     y x Y X yxf YxfpYXf nRMse 2 2 )),(( )),(),(( Peak signaL tO noISe Ratio dbMSEqPSNR )/)((loG10 2mAx10 AeriAl CamEraman Woman-HoUse Lena HouSE bArbara FiGure (2) SEt OF images used in tHe
1 19005 67% 1 5 20 81 3271310 524220971  64 % 1  5  2289 3 58 1433 5734 2 2 93761% 1 6 24 97 389 1556  6225  2 4 9035 8%  1 626 1044 19 1 679  6 71 7 2 68 6 955% 1  728 112450 1802 7 208  2 8835 52% 1 7 30  120 481 1 925  7700 308013.EXPERI MI NTA L  RESU LTS  ANDDISCSS I ON The  used tes ts et ofi mages i s th e sa me as of [21], ae r ia l , cameraman, w oman-h ou s e, B arb ara , Lena, an dhouse ,  Figure (2 ) . The colored oneschanged tog ray  using  Mat l ab'  r gb2gr ay '  fu nction as t he p erformanc e note d  to bes ame for  bothcol ore d an d  g ra y.Th e  pe r ce nta rra y in our  e xp erime ntsI n t e rnat ion al J ourna l of Academic  En gine e rin g Res earch  (IJ AE R) IS SN: 20 00-00 1X  Vol. 2 Issue 1 0, O ctober –201 8,  Pa ge s: 19 - 27 www .ij eai s.org/i jaer 21 was  b a s e don the fact that l os s on  the hig her pl a ne si mplies g re atloss i n ima ge p o we r. The o uter h i gh  p lanes,7and 6,  a ssi gne d hig h  and  equal  percent 's. C o nsidering thei mplications o f  C o r ol l arie s(1 ,2), otherplan e  i p erce n tiss et in  acco rd a nc e  with the rule ip =  m ax( 21ip, 0.52). Figure  (3) shows t h e ease p erce n tf or planes of o ur ex periments. The high est p lanes pe rcent's v a r ied from  0. 99to0.8 0 wi th 0.005 decr e a se s te p. Assu min g ),( y xfisori gin al  image ma trix ofsi ze ,MN , a re th e  matrixdi men si on,  maxq is the  peak  gra y,  a n d ) ,( yxfp is d ecod ed  i mage  ma tr ix. T hen, the  used m etrics in  ou r  stu dy  a re: Com pression Rati o,  sizeimage en cod ed siz e i mageorig inal CR    Mean Sq u are Err or,  MN y xfpy xf MSE yx *  )),() ,(( 2     Nor maliz ed  Ro o t  Mean S qu are  E rror,       y xyx yx f yxfpy xf NRMSE 2 2 )),(( )), (),(( Peak Si gna l to N oi seR at i o d bM S EqP S N R )/)((log10 2m ax10 Aeri al Ca meraman Wo m an- Ho use Len a House  Barb a ra Figu re (2) se t of imag es  use d inthe
1 19005_67% 1_5 20 81 327_1310 5242_20971_64% 1_5_22 89 358_1433 5734 22937_61% 1 6 24_97 389 1556_6225_24903 58% 1 6 26 104 419 1679 6717 26869 55% 1 7 28_112_450 1802_7208_28835_52% 1 7 30 120_481 1925 7700 30801 3._EXPERIMINTAL RESULTS_AND DISCSSION The used test set of images_is_the same as_of [21], aerial, cameraman, woman-house, Barbara, Lena, and house,_Figure (2). The colored ones changed_to gray using__Matlab'_ rgb2gray' function as_the performance noted to be same_for both colored and gray. The_percent array in our experiments International Journal_of Academic Engineering Research (IJAER) ISSN:_2000-001X Vol. 2 Issue 10,_October –_2018, Pages: 19-27 www.ijeais.org/ijaer 21_was based on_the fact_that loss on_the higher planes implies great loss_in image power._The outer high planes, 7 and_6,_assigned high and_equal_percent's._Considering the_implications of Corollaries(1,2),_other_plane i_percent_is set in accordance with the_rule_ip = max( 2 1ip,0.52). Figure (3)_shows the ease percent_for_planes of our experiments._The highest planes percent's varied_from 0.99 to 0.80 with 0.005_decrease step._Assuming ),(_yxf is original image matrix of size, MN, are the matrix_dimension, maxq is the peak gray,_and ),( yxfp is_decoded image_matrix._Then, the used_metrics_in our_study are: Compression Ratio, sizeimageencoded sizeimageoriginal CR_ _ Mean Square Error, MN yxfpyxf_MSE y x *_)),(),((_2    Normalized Root_Mean Square Error,   _ y x y x_yxf_yxfpyxf_NRMSE 2 2 )),(( )),(),((_Peak Signal to Noise Ratio dbMSEqPSNR_)/)((log10 2max10 Aerial_Cameraman Woman-House Lena House Barbara Figure (2)_set_of images used in the